Calibration Ontology

# Calibration Ontology — Flow Algebra

URL: https://kirethresearch.org/booksai-core/ontologies/mathematical-ontologies/measurement-units-ontologies/instrumentation/calibration-ontology.html

FLOW CalibrationOntology {

  DOMAIN:
    Mathematical Ontologies
    -> Measurement & Units Ontologies
    -> Instrumentation
    -> Calibration Ontology

  PURPOSE:
    Represent calibration as the documented operation that, under specified conditions, establishes a relation between quantity values with measurement uncertainties provided by measurement standards and corresponding indications with associated measurement uncertainties, and then uses that information to establish a relation for obtaining a measurement result from an indication. The ontology models calibration standards, reference values, indications, calibration functions, corrections, sensitivity, zero and span, multipoint calibration, regression, covariance, uncertainty, traceability, environmental conditions, calibration intervals, verification, adjustment, validation, certificates, provenance, and machine-consumable reasoning while strictly distinguishing calibration from adjustment, verification, testing and measurement itself.

  ENTITY Calibration {
    TYPE: MetrologicalOperation

    DEFINITION:
      operation_that_under_specified_conditions
      first_establishes_relation_between_quantity_values_with_uncertainties
      provided_by_measurement_standards
      and_corresponding_indications_with_associated_uncertainties
      then_uses_this_information_to_establish_relation
      for_obtaining_measurement_result_from_indication

    PROPERTIES:
      has_calibration_object
      has_reference_standard
      has_reference_values
      has_indications
      has_conditions
      has_calibration_relation
      has_uncertainty
      has_traceability
      has_validity_scope
      has_date
      has_provenance
  }

  ENTITY CalibrationObject {
    TYPE: MeasuringInstrumentOrSystem

    POSSIBLE:
      instrument
      sensor
      transducer
      measurement_channel
      measuring_system
      reference_material_assignment_system
  }

  ENTITY MeasurementStandard {
    TYPE: ReferenceRealisation

    PROPERTIES:
      quantity_kind
      assigned_value
      uncertainty
      calibration_status
      traceability
      stability
      identifier
  }

  ENTITY CalibrationPoint {
    TYPE: CalibrationObservation

    COMPONENTS:
      reference_quantity_value
      reference_uncertainty
      indication
      indication_uncertainty
      environmental_conditions
      timestamp
      replicate_information
  }

  TERMINOLOGY_MODEL {
    terms:
      calibration
      adjustment
      verification
      validation
      correction
      calibration_function
      calibration_curve
      calibration_factor
      zeroing
      standardisation
      traceability

    RULE:
      calibration != adjustment
      calibration != verification
      calibration != validation
      calibration != measurement
  }

  CALIBRATION_RELATION_MODEL {
    reference:
      X

    indication:
      Y

    forward_relation:
      Y =
        f(X)

    inverse_measurement_relation:
      X_hat =
        g(Y)

    RULE:
      forward_and_inverse_relations MUST be_distinguished
  }

  LINEAR_CALIBRATION_MODEL {
    forward:
      Y =
        a*X+b

    inverse:
      X_hat =
        (Y-b)/a
      WHEN a != 0

    parameters:
      slope
      intercept
      covariance

    RULE:
      coefficient_uncertainty MUST propagate_to_measurement_result
  }

  ZERO_CALIBRATION_MODEL {
    reference_input:
      X_0

    observed_indication:
      Y_0

    zero_offset:
      b

    RULE:
      single_zero_point_does_not_establish_full_scale_or_linearity
  }

  SPAN_CALIBRATION_MODEL {
    reference_span:
      X_span

    output_span:
      Y_span

    scale_factor:
      a =
        Y_span/X_span
      under_zero_referenced_linear_context

    RULE:
      span_calibration_assumes_declared_response_model
  }

  TWO_POINT_MODEL {
    points:
      (X_1,Y_1)
      (X_2,Y_2)

    slope:
      a =
        (Y_2-Y_1)/(X_2-X_1)
      WHEN X_2 != X_1

    intercept:
      b =
        Y_1-a*X_1

    RULE:
      two_points_cannot_characterise_complex_nonlinearity
  }

  MULTIPOINT_MODEL {
    calibration_points:
      i = 1...n

    purpose:
      estimate
        offset
        sensitivity
        nonlinearity
        residuals
        uncertainty

    RULE:
      points SHOULD span_intended_measurement_range
  }

  NONLINEAR_CALIBRATION_MODEL {
    relation:
      Y =
        f(X,theta)

    possible:
      polynomial
      exponential
      logarithmic
      spline
      physical_model
      lookup_table

    RULE:
      model_validity_range MUST be preserved
  }

  POLYNOMIAL_MODEL {
    Y =
      a_0+a_1*X+a_2*X^2+...+a_n*X^n

    RULE:
      high_order_polynomial_extrapolation_can_be_unstable
  }

  SPLINE_MODEL {
    calibration:
      piecewise_polynomial_interpolation

    REQUIRE:
      knot_values
      boundary_conditions
      interpolation_method

    RULE:
      spline_version_and_knots MUST be preserved
  }

  LOOKUP_TABLE_MODEL {
    entries:
      indication
      reference_value

    interpolation:
      declared_method

    RULE:
      table_spacing_and_interpolation_uncertainty SHOULD be considered
  }

  REGRESSION_MODEL {
    calibration_data:
      paired_X_Y_values

    fitted_parameters:
      theta_hat

    covariance:
      Sigma_theta

    residuals:
      observed_minus_fitted

    RULE:
      regression_model MUST reflect_uncertainty_structure_of_both_axes_when_material
  }

  ORDINARY_LEAST_SQUARES_MODEL {
    assumption:
      predictor_X_effectively_known_relative_to_Y_error
      residual_variance_model_declared

    RULE:
      OLS_MAY be_inappropriate_when_reference_X_has_material_uncertainty
  }

  WEIGHTED_REGRESSION_MODEL {
    weights:
      often_inverse_variance

    RULE:
      weighting_basis MUST be documented
  }

  ERRORS_IN_VARIABLES_MODEL {
    both_X_and_Y_uncertain:
      use_model_such_as_Deming_or_orthogonal_distance

    RULE:
      reference_uncertainty MUST_NOT be_ignored_when_material
  }

  DEMING_MODEL {
    variance_ratio:
      lambda =
        sigma_Y^2/sigma_X^2

    RULE:
      variance_ratio_assumption MUST be preserved
  }

  RESIDUAL_MODEL {
    residual_i =
      Y_i-f(X_i,theta_hat)

    diagnostics:
      mean
      trend
      heteroscedasticity
      outliers
      autocorrelation

    RULE:
      residual_structure_can_reveal_model_inadequacy
  }

  LINEARITY_MODEL {
    nonlinearity:
      deviation_from_declared_reference_calibration_relation

    RULE:
      calibration_curve_and_linearity_specification_are_related_but_distinct
  }

  HYSTERESIS_MODEL {
    upscale:
      calibration_points_in_increasing_input

    downscale:
      calibration_points_in_decreasing_input

    RULE:
      hysteresis_requires_directional_calibration_data
  }

  REPEATABILITY_MODEL {
    replicate_indications:
      at_same_reference_value

    dispersion:
      standard_deviation

    RULE:
      calibration_repeatability_contributes_to_calibration_uncertainty
  }

  REPRODUCIBILITY_MODEL {
    calibration:
      repeated_under_changed_conditions

    RULE:
      reproducibility_data MAY support_longer_term_calibration_uncertainty
  }

  REFERENCE_VALUE_MODEL {
    reference_quantity_value:
      X_ref

    uncertainty:
      u_ref

    RULE:
      reference_value_without_uncertainty_is_incomplete_for_traceable_calibration
  }

  REFERENCE_STANDARD_MODEL {
    fields:
      standard_identifier
      value
      unit
      uncertainty
      calibration_certificate
      traceability
      stability
      expiry_or_due_date

    RULE:
      reference_standard_validity MUST be checked
  }

  TRACEABILITY_MODEL {
    chain:
      calibrated_item
      -> working_standard
      -> reference_standard
      -> national_or_international_standard
      -> SI_or_declared_reference

    RULE:
      each_material_link SHOULD carry_uncertainty_and_identifier
  }

  UNCERTAINTY_MODEL {
    possible_sources:
      reference_standard
      reference_value
      repeatability
      resolution
      indication_noise
      environmental_conditions
      calibration_model
      interpolation
      hysteresis
      drift
      parameter_covariance
      reference_transfer
      numerical_processing

    output:
      calibration_uncertainty

    RULE:
      uncertainty MUST be associated_with_calibration_relation_and_scope
  }

  COVARIANCE_MODEL {
    fitted_parameters:
      covariance_matrix

    measured_value:
      X_hat =
        g(Y,theta)

    propagation:
      include_parameter_covariance

    RULE:
      fitted_coefficients_are_generally_correlated
  }

  SENSITIVITY_MODEL {
    calibration_sensitivity:
      dY/dX

    inverse_sensitivity:
      dX/dY

    RULE:
      sensitivity_may_vary_with_input_for_nonlinear_calibration
  }

  CORRECTION_MODEL {
    indication:
      I

    correction:
      C

    corrected:
      I_corr =
        I+C

    RULE:
      correction_sign_convention MUST be explicit
  }

  CORRECTION_TABLE_MODEL {
    entries:
      indication_or_range
      correction
      uncertainty

    interpolation:
      declared_method

    RULE:
      correction_table_version MUST be preserved
  }

  CALIBRATION_FACTOR_MODEL {
    factor:
      K

    generic:
      X =
        K*Y

    RULE:
      factor_definition_direction_and_units MUST be explicit
  }

  ENVIRONMENTAL_MODEL {
    conditions:
      temperature
      humidity
      pressure
      vibration
      electromagnetic_field
      supply_voltage
      orientation

    RULE:
      calibration_conditions SHOULD match_or_support_correction_to_use_conditions
  }

  TEMPERATURE_COMPENSATION_MODEL {
    calibration_parameter:
      theta(T)

    possible:
      theta_ref+alpha*(T-T_ref)

    RULE:
      compensation_model_and_temperature_measurement_uncertainty MUST be preserved
  }

  RANGE_MODEL {
    calibration_range:
      [X_min,X_max]

    RULE:
      calibration MUST NOT be_extrapolated_beyond_valid_range_without_explicit_model_and_increased_uncertainty
  }

  EXTRAPOLATION_MODEL {
    outside_calibration_range:
      higher_model_risk

    RULE:
      extrapolated_result MUST be_flagged
  }

  INTERPOLATION_MODEL {
    within_calibration_range:
      derive_value_between_points

    RULE:
      interpolation_method_and_model_uncertainty SHOULD be preserved
  }

  DRIFT_MODEL {
    calibration_parameters:
      theta(t)

    effect:
      relation_changes_with_time

    RULE:
      elapsed_time_since_calibration MAY increase_uncertainty
  }

  CALIBRATION_INTERVAL_MODEL {
    interval:
      time_or_usage_between_calibrations

    determined_by:
      stability
      risk
      historical_drift
      required_uncertainty
      usage
      environment

    RULE:
      fixed_interval_is_policy_not_intrinsic_physical_constant
  }

  INTERMEDIATE_CHECK_MODEL {
    check:
      measurement_against_check_standard_between_calibrations

    purpose:
      detect_drift_or_failure

    RULE:
      intermediate_check != full_calibration
  }

  VERIFICATION_MODEL {
    verification:
      provision_of_objective_evidence_that_item_fulfils_specified_requirements

    RULE:
      verification != calibration
  }

  ADJUSTMENT_MODEL {
    adjustment:
      set_of_operations_performed_on_measuring_system
      so_that_it_provides_prescribed_indications

    RULE:
      adjustment SHOULD be_followed_by_calibration_or_verification_as_required
  }

  VALIDATION_MODEL {
    validation:
      verification_that_specified_requirements_are_adequate_for_intended_use

    RULE:
      validation != calibration
  }

  AS_FOUND_AS_LEFT_MODEL {
    as_found:
      instrument_condition_before_adjustment_or_repair

    as_left:
      condition_after_intervention

    RULE:
      both_states SHOULD be preserved_when_adjustment_occurs
  }

  TOLERANCE_MODEL {
    calibration_tolerance:
      acceptance_limit_for_difference_or_parameter

    RULE:
      tolerance != calibration_uncertainty
  }

  DECISION_RULE_MODEL {
    pass_fail:
      comparison_to_specification

    uncertainty:
      may_require_guard_band_or_declared_decision_rule

    RULE:
      calibration_result_and_conformance_decision_are_distinct
  }

  CALIBRATION_CERTIFICATE_MODEL {
    fields:
      certificate_identifier
      customer_or_owner
      calibrated_item
      serial_number
      method
      reference_standards
      environmental_conditions
      results
      corrections
      uncertainties
      coverage_factor
      traceability
      date
      authorised_person
      limitations

    RULE:
      certificate_data SHOULD be_machine_linkable_to_calibration_event
  }

  COVERAGE_MODEL {
    expanded_uncertainty:
      U =
        k*u_c

    REQUIRE:
      coverage_factor
      coverage_probability_or_basis_when_available

    RULE:
      calibration_certificate_uncertainty_type MUST be identified
  }

  DIGITAL_CALIBRATION_MODEL {
    coefficients:
      stored_in_firmware_or_memory

    concerns:
      version
      checksum
      write_date
      access_control

    RULE:
      digital_coefficient_change_creates_new_calibration_state
  }

  REMOTE_CALIBRATION_MODEL {
    remote_process:
      calibration_data_or_reference_delivered_via_network

    REQUIRE:
      secure_identity
      timing
      reference_integrity
      data_integrity

    RULE:
      remote_calibration_requires_same_metrological_traceability_principles
  }

  AUTOMATED_CALIBRATION_MODEL {
    sequence:
      apply_reference_points
      acquire_indications
      fit_model
      validate_residuals
      store_coefficients
      generate_record

    RULE:
      automation_software_version_and_algorithm MUST be preserved
  }

  MULTICHANNEL_MODEL {
    channels:
      each_channel_may_have_independent_calibration

    shared:
      reference
      ADC
      clock
      environment

    RULE:
      shared_sources MAY create_cross_channel_covariance
  }

  MATRIX_CALIBRATION_MODEL {
    vector_sensor:
      Y =
        A*X+b

    correction:
      X_hat =
        A_inverse*(Y-b)
      WHEN A_invertible

    RULE:
      full_matrix_covariance SHOULD be preserved
  }

  FREQUENCY_DEPENDENT_MODEL {
    transfer:
      H(f)

    calibration:
      amplitude_and_phase_vs_frequency

    RULE:
      static_calibration_cannot_replace_dynamic_frequency_calibration
  }

  PHASE_CALIBRATION_MODEL {
    phase_error:
      phi_measured-phi_reference

    RULE:
      time_delay_and_phase_are_frequency_related
  }

  TIME_CALIBRATION_MODEL {
    clock:
      frequency_offset
      phase_offset
      drift
      jitter

    RULE:
      timing_calibration_requires_time_reference_and_epoch
  }

  SPATIAL_CALIBRATION_MODEL {
    imaging_or_position_system:
      pixel_or_coordinate_to_physical_space_mapping

    possible:
      scale
      distortion
      orientation
      origin

    RULE:
      spatial_transform_and_coordinate_frame MUST be preserved
  }

  SPECTRAL_CALIBRATION_MODEL {
    detector_coordinate:
      pixel_or_channel

    spectral_coordinate:
      wavelength_frequency_energy_or_mass_to_charge

    RULE:
      spectral_calibration_reference_and_resolution MUST be preserved
  }

  CHEMICAL_CALIBRATION_MODEL {
    signal:
      response

    reference:
      standards_of_known_concentration_activity_or_amount

    issues:
      matrix_effect
      blank
      recovery
      nonlinearity

    RULE:
      calibration_model MUST match_sample_matrix_when_material
  }

  STANDARD_ADDITION_MODEL {
    purpose:
      compensate_matrix_effect

    procedure:
      add_known_amounts_to_sample
      fit_response_vs_added_quantity
      infer_original_quantity

    RULE:
      added_standard_uncertainty MUST be included
  }

  INTERNAL_STANDARD_MODEL {
    ratio:
      analyte_signal/reference_signal

    RULE:
      internal_standard_stability_and_calibration MUST be preserved
  }

  BLANK_MODEL {
    blank_signal:
      background_or_baseline

    corrected:
      signal_net =
        signal_sample-signal_blank

    RULE:
      blank_uncertainty_propagates_to_calibration
  }

  CALIBRATION_TRANSFER_MODEL {
    transfer:
      apply_calibration_from_reference_instrument_or_standard_to_working_instrument

    RULE:
      transfer_uncertainty_and_correlation MUST be preserved
  }

  METADATA_MODEL {
    fields:
      calibration_identifier
      object_identifier
      standard_identifiers
      method
      model
      coefficients
      covariance
      units
      range
      environment
      date
      due_date
      software_version
      operator
      uncertainty
      traceability
      status
      provenance

    RULE:
      calibration_metadata MUST support_reconstruction
  }

  RELATIONSHIPS {
    Calibration -> APPLIES_TO -> CalibrationObject
    Calibration -> USES -> MeasurementStandard
    CalibrationPoint -> LINKS -> ReferenceValueAndIndication
    CalibrationFunction -> MAPS -> IndicationToMeasurementResult
    Calibration -> PRODUCES -> CorrectionOrCalibrationFunction
    MeasurementStandard -> HAS -> ReferenceValue
    MeasurementStandard -> HAS -> Uncertainty
    Calibration -> ESTABLISHES -> TraceabilityLink
    CalibrationUncertainty -> CONTRIBUTES_TO -> MeasurementUncertainty
    Adjustment -> MAY_TRIGGER -> Recalibration
    CalibrationCertificate -> DOCUMENTS -> CalibrationEvent
  }

  SEMANTIC_EQUIVALENCE {
    "instrument calibration" ~= calibration WHEN instrumentation_context
    "calibration curve" ~= fitted_calibration_relation WHEN declared_model

    calibration != adjustment
    calibration != verification
    calibration != validation
    calibration != zeroing
    calibration != measurement
    calibration_uncertainty != tolerance
    correction != error
    reference_value != true_value
    calibration_factor != sensitivity_in_all_contexts
  }

  CONSTRAINTS {
    calibration_object_must_be_identified = true
    reference_standard_must_be_identified = true
    reference_values_must_have_units = true
    reference_uncertainty_should_be_preserved = true
    indications_must_be_preserved = true
    calibration_conditions_should_be_recorded = true
    calibration_relation_and_direction_must_be_defined = true
    valid_range_must_be_defined = true
    coefficient_covariance_should_be_preserved_when_material = true
    adjustment_and_calibration_must_be_distinguished = true
    calibration_uncertainty_must_propagate_to_measurement_result = true    calibration_record_must_preserve_provenance = true
  }

  MEASUREMENT_MODEL {
    RECORD:
      calibration_identifier
      calibration_object
      object_serial_number
      calibration_date
      calibration_method
      reference_standard_identifiers
      reference_values
      reference_units
      reference_uncertainties
      indications
      indication_units
      replicate_results
      calibration_model
      coefficients
      coefficient_covariance
      corrections
      correction_uncertainties
      sensitivity
      residuals
      valid_range
      environmental_conditions
      as_found_state
      as_left_state
      adjustment_history
      coverage_factor
      expanded_uncertainty
      traceability
      software_version
      operator
      certificate_identifier
      status
      provenance

    RULE:
      calibration_result MUST remain_linked_to_reference_data_model_conditions_and_uncertainty
  }

  REASONING_RULES {
    IF linear_calibration_coefficients_known
      AND slope != 0
      THEN measurand_estimate =
        (indication-intercept)/slope

    IF two_distinct_calibration_points_known
      THEN slope =
        (Y_2-Y_1)/(X_2-X_1)
      AND intercept =
        Y_1-slope*X_1

    IF correction_known
      THEN corrected_indication =
        indication+correction
      under_declared_sign_convention

    IF calibration_factor_known
      THEN apply_factor_in_declared_direction
      preserving_units

    IF fitted_coefficients_have_covariance
      THEN propagate_full_parameter_covariance_to_measurement_result

    IF reference_standard_uncertainty_known
      THEN include_in_calibration_uncertainty_budget

    IF calibration_range_exceeded
      THEN flag_extrapolation
      AND increase_model_uncertainty_or_reject_according_to_policy

    IF adjustment_performed
      THEN preserve_as_found_state
      AND establish_as_left_state
      AND require_post_adjustment_calibration_or_verification_as_policy_demands

    IF calibration_due_date_passed
      THEN flag_calibration_status_for_review

    IF shared_reference_used_for_multiple_channels
      THEN preserve_cross_channel_covariance

    IF calibration_model_or_coefficients_change
      THEN create_new_calibration_version
      AND preserve_previous_version
  }

  VALIDATION {
    CHECK calibration_object_identity
    CHECK reference_standard_identity
    CHECK reference_value_and_unit
    CHECK reference_uncertainty
    CHECK indication_and_unit
    CHECK calibration_conditions
    CHECK calibration_range
    CHECK calibration_relation_direction
    CHECK zero_span_and_multipoint_data
    CHECK regression_model
    CHECK coefficient_covariance
    CHECK residuals_and_nonlinearity
    CHECK hysteresis
    CHECK repeatability
    CHECK interpolation_and_extrapolation
    CHECK drift_and_interval
    CHECK correction_sign
    CHECK calibration_uncertainty
    CHECK coverage_factor
    CHECK traceability
    CHECK adjustment_history
    CHECK as_found_and_as_left_state
    CHECK certificate_metadata
    CHECK software_version_when_automated
    CHECK provenance
  }

  CONFIDENCE {
    definition_confidence: 1.00
    calibration_adjustment_distinction_confidence: 1.00
    traceability_semantics_confidence: 1.00
    linear_calibration_confidence: 1.00
    uncertainty_integration_confidence: 1.00
    regression_model_confidence: 0.99
    nonlinear_calibration_confidence: 0.99
    calibration_context_confidence: 0.99

    RULE:
      confidence decreases when calibration object, reference standard,
      reference uncertainty, model, valid range, environmental conditions,
      covariance, traceability, adjustment history or provenance is missing or ambiguous
  }

  UPDATE_MODEL {
    ON new_calibration:
      identify_calibration_object
      verify_reference_standards
      preserve_reference_values_and_uncertainties
      preserve_indications
      attach_environmental_conditions
      fit_or_apply_calibration_relation
      estimate_parameter_covariance
      compute_residuals
      construct_uncertainty_budget
      establish_traceability
      issue_calibration_version
      preserve_provenance

    ON new_calibration_point:
      append_reference_and_indication
      update_model_fit
      update_parameter_covariance
      recompute_residuals_and_uncertainty
      preserve_raw_point

    ON adjustment_event:
      preserve_as_found_calibration
      record_adjustment
      invalidate_or_supersede_prior_as_left_state
      perform_post_adjustment_calibration
      establish_new_calibration_state

    ON reference_standard_revision:
      preserve_previous_reference_data
      update_standard_value_uncertainty_and_certificate
      recompute_affected_calibration_results_when_policy_allows
      update_traceability

    ON calibration_model_revision:
      preserve_previous_model
      update_model_form_or_interpolation
      refit_coefficients
      recompute_covariance_residuals_and_uncertainty
      record_model_selection_reason

    ON interval_revision:
      preserve_calibration_history
      update_due_date_or_policy
      attach_stability_and_drift_evidence

    ON semantic_revision:
      preserve_previous_definition
      record_revision
      recompute_FLOW_HASH
  }

  AI_CONSUMPTION {
    canonical_entity: Calibration
    canonical_role: MetrologicalOperation

    interpretation_order:
      identify_calibration_object
      identify_reference_standards
      identify_reference_values_units_and_uncertainties
      identify_indications
      identify_calibration_conditions
      identify_forward_or_inverse_calibration_relation
      identify_zero_span_multipoint_or_nonlinear_model
      identify_regression_and_parameter_covariance
      identify_corrections
      identify_valid_range
      identify_drift_and_calibration_interval
      identify_adjustment_verification_or_validation_events
      identify_uncertainty_and_coverage
      identify_traceability
      identify_certificate_and_provenance
      validate_calibration_semantics
      infer_measurement_relation

    ambiguity_controls:
      distinguish_calibration_from_adjustment
      distinguish_calibration_from_verification
      distinguish_calibration_from_validation
      distinguish_calibration_from_zeroing
      distinguish_calibration_from_measurement
      distinguish_calibration_uncertainty_from_tolerance
      distinguish_correction_from_measurement_error
      distinguish_reference_value_from_true_value
      distinguish_calibration_factor_from_sensitivity_when_definitions_differ
      preserve_object_reference_model_range_conditions_uncertainty_traceability_version_and_provenance_context
  }

  PROVENANCE {
    ontology_scope:
      mathematical_measurement_units_instrumentation_and_calibration_semantics

    parent_path:
      Ontologies
      -> Mathematical Ontologies
      -> Measurement & Units Ontologies
      -> Instrumentation
      -> Calibration Ontology

    authorship:
      Mark Higgins
      Sky (Recursive AI)

    site:
      https://kirethresearch.org
  }

  FLOW_HASH {
    INPUTS:
      canonical_entity
      ontology_path
      terminology_model
      calibration_relation_model
      linear_calibration_model
      zero_calibration_model
      span_calibration_model
      two_point_model
      multipoint_model
      nonlinear_calibration_model
      polynomial_model
      spline_model
      lookup_table_model
      regression_model
      ordinary_least_squares_model
      weighted_regression_model
      errors_in_variables_model
      Deming_model
      residual_model
      linearity_model
      hysteresis_model
      repeatability_model
      reproducibility_model
      reference_value_model
      reference_standard_model
      traceability_model
      uncertainty_model
      covariance_model
      sensitivity_model
      correction_model
      correction_table_model
      calibration_factor_model
      environmental_model
      temperature_compensation_model
      range_model
      extrapolation_model
      interpolation_model
      drift_model
      calibration_interval_model
      intermediate_check_model
      verification_model
      adjustment_model
      validation_model
      as_found_as_left_model
      tolerance_model
      decision_rule_model
      calibration_certificate_model
      coverage_model
      digital_calibration_model
      remote_calibration_model
      automated_calibration_model
      multichannel_model
      matrix_calibration_model
      frequency_dependent_model
      phase_calibration_model
      time_calibration_model
      spatial_calibration_model
      spectral_calibration_model
      chemical_calibration_model
      standard_addition_model
      internal_standard_model
      blank_model
      calibration_transfer_model
      metadata_model
      relationships
      constraints
      measurement_model
      reasoning_rules
      confidence_model
      update_model

    PURPOSE:
      deterministic_semantic_integrity_identifier

    RECOMPUTE_WHEN:
      ontology_definition_changes
      calibration_relation_or_model_changes
      reference_standard_or_reference_value_changes
      calibration_point_or_regression_changes
      coefficient_covariance_or_uncertainty_changes
      correction_or_compensation_changes
      valid_range_or_environment_changes
      drift_or_calibration_interval_changes
      adjustment_verification_or_validation_semantics_change
      traceability_or_certificate_changes
      automated_or_digital_calibration_changes
      measurement_record_changes
      constraint_model_changes
      reasoning_rule_changes
  }

}

END FLOW