[{"id":"structural-qc","phase":"Preflight","phase_key":"preflight","title":"Structural QC","question":"Is the canonical gaze table structurally safe to inspect downstream?","purpose":"Detect non-finite coordinates or timestamps, missing identifiers, duplicate timestamps, and decreasing within-trial time without turning those diagnostics into a universal quality score.","functions":["GazeStudy","audit_study_qc","study_qc_diagnostics","build_study_qc_audit"],"guide_url":"/docs/guides/data-onboarding/","guide_label":"Data onboarding guide","example_url":"/docs/examples/study-preflight/","example_label":"Study preflight example","plot_url":"/assets/plots/qc-issue-profile.svg","plot_label":"QC issue profile","evidence_url":"","evidence_label":"","evidence_note":"Descriptive preflight; no frozen real-data outcome is assigned to this method family.","keywords":"qc preflight structure timestamps identifiers duplicates finite coordinates gaze study diagnostics"},{"id":"readiness-governance","phase":"Governance","phase_key":"governance","title":"Analysis-readiness governance","question":"What cohort consequences follow from the structural policy I declare?","purpose":"Aggregate trial and participant diagnostics, preview retention consequences, compare declared policies, and preserve the policy as provenance rather than as an automatic exclusion rule.","functions":["ReadinessThresholds","evaluate_analysis_readiness","cohort_impact_preview","readiness_policy_table"],"guide_url":"/docs/guides/analysis-readiness/","guide_label":"Readiness guide","example_url":"/docs/examples/analysis-readiness/","example_label":"Readiness example","plot_url":"/assets/plots/cohort-impact.svg","plot_label":"Cohort-impact preview","evidence_url":"","evidence_label":"","evidence_note":"Policy-relative governance; passing a policy is not a universal scientific-validity judgement.","keywords":"readiness threshold cohort participant trial governance policy retention exclusion provenance"},{"id":"aoi-uncertainty","phase":"Measurement","phase_key":"measurement","title":"AOI measurement uncertainty","question":"Would the endpoint change if gaze coordinates near AOI boundaries were not treated as exact?","purpose":"Represent declared gaze-position error, estimate probabilistic AOI membership, compare it with hard assignment, and propagate measurement uncertainty into dwell or fixation endpoints.","functions":["GaussianGazeErrorModel","aoi_probabilities","compare_hard_probabilistic","expected_dwell"],"guide_url":"/docs/guides/aoi-uncertainty/","guide_label":"AOI uncertainty guide","example_url":"/docs/examples/aoi-boundary/","example_label":"Boundary example","plot_url":"/assets/plots/aoi-probability-profile.svg","plot_label":"AOI probability profile","evidence_url":"/docs/case-studies/korthals-target-tracking/","evidence_label":"Korthals frozen case","evidence_note":"The frozen Korthals audit retained a negative paired effect under the prespecified uncertainty model.","keywords":"aoi uncertainty boundary gaussian error probability membership dwell fixation korthals"},{"id":"specification-robustness","phase":"Robustness","phase_key":"robustness","title":"Specification-space robustness","question":"Does the endpoint survive other defensible analytical choices?","purpose":"Declare a finite decision space, execute one common endpoint across valid specifications, and inspect sign, magnitude, and factor sensitivity without searching for a favourable pipeline.","functions":["PipelineSpace","run_specs","specification_curve","effect_stability"],"guide_url":"/docs/guides/specification-space/","guide_label":"Specification-space guide","example_url":"/docs/examples/end-to-end-robustness/","example_label":"End-to-end audit","plot_url":"/assets/plots/specification-curve-code.svg","plot_label":"Specification curve","evidence_url":"/docs/case-studies/gazebase-incomplete/","evidence_label":"GazeBase frozen case","evidence_note":"The frozen GazeBase programme stopped at its predeclared completeness gate rather than forcing a robustness conclusion.","keywords":"robustness multiverse pipeline specification curve effect stability choices gazebase"},{"id":"sampling-sensitivity","phase":"Sensitivity","phase_key":"sensitivity","title":"Sampling-rate sensitivity","question":"How much does the endpoint move as temporal sampling resolution is reduced?","purpose":"Downsample by retaining existing samples nearest a declared target grid and evaluate the same endpoint across controlled sampling rates without coordinate interpolation.","functions":["downsample_gaze","sampling_sensitivity_curve"],"guide_url":"/docs/guides/specification-space/","guide_label":"Sensitivity context","example_url":"/docs/examples/sampling-sensitivity/","example_label":"Sampling example","plot_url":"/assets/plots/sampling-sensitivity-code.svg","plot_label":"Sampling sensitivity","evidence_url":"/docs/case-studies/pedrotti-sensitivity/","evidence_label":"Pedrotti frozen case","evidence_note":"The frozen Pedrotti/de Chambrier audit found materially degraded magnitude recovery at lower sampling rates.","keywords":"sampling downsample hertz temporal sensitivity recovery pedrotti"},{"id":"missingness-sensitivity","phase":"Sensitivity","phase_key":"sensitivity","title":"Missingness sensitivity","question":"How robust is the endpoint to controlled amounts and mechanisms of missing gaze data?","purpose":"Construct declared missingness masks, apply them without hiding the perturbation mechanism, and evaluate endpoint recovery across controlled missingness families.","functions":["missingness_mask","inject_missingness","missingness_sensitivity_curve","summarize_missingness"],"guide_url":"/docs/guides/specification-space/","guide_label":"Sensitivity context","example_url":"/docs/examples/end-to-end-robustness/","example_label":"Robustness workflow","plot_url":"/assets/plots/missingness-sensitivity-code.svg","plot_label":"Missingness sensitivity","evidence_url":"/docs/case-studies/pedrotti-sensitivity/","evidence_label":"Pedrotti frozen case","evidence_note":"The frozen Pedrotti/de Chambrier protocol includes controlled MCAR and single-block missingness recovery.","keywords":"missingness mcar block mask inject perturbation sensitivity recovery pedrotti"},{"id":"spatial-sensitivity","phase":"Sensitivity","phase_key":"sensitivity","title":"Spatial-error sensitivity","question":"How dependent is the endpoint on the scale of the declared gaze-error model?","purpose":"Scale an explicit measurement-error model and rerun a common endpoint across controlled spatial uncertainty levels.","functions":["scale_error_model","spatial_sensitivity_curve"],"guide_url":"/docs/guides/aoi-uncertainty/","guide_label":"AOI uncertainty guide","example_url":"/docs/examples/aoi-boundary/","example_label":"Boundary example","plot_url":"/assets/plots/factor-sensitivity.svg","plot_label":"Factor sensitivity","evidence_url":"/docs/case-studies/korthals-target-tracking/","evidence_label":"Korthals measurement case","evidence_note":"Korthals provides frozen measurement-error propagation evidence; it is not a generic spatial-sensitivity benchmark.","keywords":"spatial error model scale uncertainty sensitivity aoi gaussian"},{"id":"known-truth-recovery","phase":"Benchmarking","phase_key":"benchmarking","title":"Known-truth recovery","question":"Can the analysis family recover a conclusion when the generating truth is known?","purpose":"Simulate declared AOI effects, evaluate recovery under a predeclared conclusion rule, and compare analysis families without confusing synthetic recovery with empirical validation.","functions":["simulate_known_aoi_effect","benchmark_known_aoi_effect","ConclusionRule","summarize_conclusion_recovery"],"guide_url":"/docs/SCIENTIFIC_METHODS.html","guide_label":"Scientific methods","example_url":"/docs/examples/end-to-end-robustness/","example_label":"Audit context","plot_url":"/assets/plots/recovery-matrix.svg","plot_label":"Recovery matrix","evidence_url":"","evidence_label":"","evidence_note":"Synthetic known-truth benchmark by design; it is not a frozen real-data case study.","keywords":"benchmark known truth simulation recovery conclusion rule synthetic"},{"id":"publication-provenance","phase":"Evidence","phase_key":"evidence","title":"Publication provenance","question":"Can another researcher verify exactly what was declared, run, and reported?","purpose":"Bind results, rules, manifests, methods text, software metadata, and content fingerprints into deterministic publication evidence that can be verified after writing.","functions":["build_conclusion_audit_bundle","verify_publication_audit_bundle","render_publication_methods","fingerprint"],"guide_url":"/docs/guides/publication-audits/","guide_label":"Publication-audit guide","example_url":"/docs/workflows/reproducible-publication/","example_label":"Publication workflow","plot_url":"/assets/plots/policy-tradeoffs.svg","plot_label":"Policy trade-offs","evidence_url":"/docs/VALIDATION_MATRIX.html","evidence_label":"Frozen validation matrix","evidence_note":"The validation matrix shows how outcome labels remain bound to exact protocol and execution records.","keywords":"publication provenance fingerprint manifest reproducibility audit bundle methods evidence"},{"id":"interoperability","phase":"Integration","phase_key":"integration","title":"Interoperability","question":"How do I bring external eye-tracking data or detector outputs into the canonical audit workflow?","purpose":"Convert supported BIDS, pymovements, pEYES, or custom adapter inputs into explicit GazeAudit contracts while keeping upstream semantics visible.","functions":["read_bids_eyetrack","from_pymovements_gaze","make_peyes_detector","run_detector_backend"],"guide_url":"/docs/guides/interoperability/","guide_label":"Interoperability guide","example_url":"/docs/guides/data-onboarding/","example_label":"Canonical onboarding","plot_url":"/assets/plots/gaze-trajectory-aoi.svg","plot_label":"Gaze trajectory and AOI","evidence_url":"","evidence_label":"","evidence_note":"Interoperability is guarded by live contract CI; it is not itself a frozen empirical outcome.","keywords":"bids pymovements peyes detector adapter integration external data trajectory"}]