{"id":"W3024022548","doi":"10.1097/jom.0000000000001914","title":"Medical Conditions and Crash Risk in Commercial Motor Vehicle Drivers","year":2020,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Medicine","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Health","funders":"","keywords":"Medicine; Medical diagnosis; Prospective cohort study; Crash; Occupational safety and health; Diabetes mellitus; Poison control; Environmental health; Injury prevention; Emergency medicine; Medical emergency; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003167584,0.0000843132,0.000241083,0.00006197047,0.0002352093,0.000001467482,0.00005941988,0.0000660949,0.00082279],"category_scores_gemma":[0.0004965011,0.0000611898,0.00002056565,0.00004764181,0.0003057835,0.00009973907,0.00007827467,0.0005061429,0.000009543485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000575429,"about_ca_system_score_gemma":0.00003939847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003771299,"about_ca_topic_score_gemma":0.00007953108,"domain_scores_codex":[0.9987583,0.0001466859,0.0004541003,0.0000963878,0.0004176173,0.0001269814],"domain_scores_gemma":[0.998952,0.0005212009,0.0002321279,0.00003260708,0.00001285902,0.0002492282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006855471,0.00004005662,0.9905369,0.00002602276,0.00002712673,0.00002324571,0.003243925,0.000003061096,0.0003602768,0.0000224169,0.004487248,0.001161217],"study_design_scores_gemma":[0.002827442,0.0003295914,0.9908725,0.0002065938,0.00003393937,0.00001208599,0.003433651,0.0003372359,0.000002453899,0.0001147735,0.001777101,0.00005260956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816572,0.0002215908,0.00006129142,0.01762563,0.000163545,0.0001108893,0.00005366082,0.000004015678,0.0001021837],"genre_scores_gemma":[0.9948504,0.001380453,0.00007583544,0.003095265,0.0005503031,0.000003781909,0.00001053517,0.000005866688,0.00002755838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01453036,"threshold_uncertainty_score":0.9008973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04593856922968487,"score_gpt":0.3792787910566904,"score_spread":0.3333402218270055,"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."}}