{"id":"W1487570513","doi":"10.1177/0008417413511788","title":"Evaluating medically at-risk drivers: A survey of assessment practices in Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Occupational Therapy","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Risk assessment; Medicine; Medical emergency; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002990811,0.0001174091,0.0003286425,0.0002241869,0.0003516078,0.000008876697,0.0002701358,0.00006466325,0.002406191],"category_scores_gemma":[0.004463945,0.00009612377,0.00003891604,0.0002582601,0.00006513279,0.000228679,0.00002016539,0.0005778698,0.000009370876],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002398407,"about_ca_system_score_gemma":0.04423119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952698,"about_ca_topic_score_gemma":0.9997425,"domain_scores_codex":[0.9964069,0.001501847,0.000944368,0.0001239554,0.0006675341,0.0003553653],"domain_scores_gemma":[0.9922743,0.003219838,0.002289955,0.0001425205,0.001700259,0.0003730832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003135455,0.00001316527,0.9861671,0.00001488155,0.00009710895,0.000009007229,0.001351561,0.0001634297,0.00003579262,0.00001142935,0.008910464,0.003194658],"study_design_scores_gemma":[0.001211039,0.000120077,0.9957941,0.0002082091,0.000008106554,0.000002996467,0.001240508,0.0003992333,0.000003710338,0.00009750429,0.0008297644,0.00008471511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967932,0.0003286267,0.0000312371,0.00144337,0.0005991398,0.0003553255,0.0001015765,0.000001646018,0.0003459247],"genre_scores_gemma":[0.9976552,0.0001913224,0.001330067,0.0005932575,0.00009964436,0.0000195218,0.00001186923,0.00001274916,0.00008633329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04183278,"threshold_uncertainty_score":0.9985058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4197965637591404,"score_gpt":0.5536635413338287,"score_spread":0.1338669775746882,"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."}}