{"id":"W2975610872","doi":"10.3357/amhp.5391.2019","title":"Aviation Safety vs. Medical Confidentiality: Disclosure of Health Information for Accident Prevention and Investigation","year":2019,"lang":"en","type":"article","venue":"Aerospace Medicine and Human Performance","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confidentiality; Hum; Aviation; Aviation accident; Aviation safety; Medical emergency; Occupational safety and health; Accident (philosophy); Suicide prevention; Poison control; Injury prevention; Human factors and ergonomics; Aviation medicine; Aeronautics; Medicine; Computer security; Engineering; Computer science; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003659812,0.0001118001,0.0003602138,0.0001361277,0.0006787244,0.000006489082,0.00007745176,0.0001463658,0.0002898578],"category_scores_gemma":[0.0003344644,0.00008936548,0.00002212736,0.0001297028,0.0001462901,0.0005722897,0.00005718004,0.0003039954,0.00001686633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008123708,"about_ca_system_score_gemma":0.0004675135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007652188,"about_ca_topic_score_gemma":0.0004736582,"domain_scores_codex":[0.9977925,0.0002338033,0.0009195519,0.000164517,0.0005948805,0.0002947261],"domain_scores_gemma":[0.9982715,0.0005164461,0.0005413,0.0001582912,0.000300787,0.0002116959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002938683,0.00001624342,0.9503986,0.003990935,0.00001366592,2.714843e-8,0.006619002,0.00000228385,0.00003747905,0.01436591,0.002996595,0.02126538],"study_design_scores_gemma":[0.003075024,0.00124434,0.9840429,0.001326201,0.00001198217,0.00000109625,0.00173935,0.001248261,0.00001329901,0.0007444636,0.006469105,0.00008398559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810092,0.0002585168,0.001393332,0.01425139,0.0003034174,0.002153353,0.00001161837,0.00002243812,0.0005966732],"genre_scores_gemma":[0.9957686,0.001062773,0.0001139377,0.001603842,0.000178373,0.0001156541,0.0004647559,0.00000810009,0.0006839684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03364428,"threshold_uncertainty_score":0.5220268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05811680766498909,"score_gpt":0.4425220662509126,"score_spread":0.3844052585859234,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}