{"id":"W2071309111","doi":"10.1016/j.forsciint.2014.12.018","title":"The combined effects of alcohol and cannabis on driving: Impact on crash risk","year":2014,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; Essar Steel Algoma (Canada); St. Joseph's Care Group; NOSM University","funders":"AUTO21 Network of Centres of Excellence; Ontario Neurotrauma Foundation","keywords":"Cannabis; Driving under the influence; Poison control; Injury prevention; Alcohol; Human factors and ergonomics; Crash; Environmental health; Suicide prevention; Occupational safety and health; Risk assessment; Medicine; Psychology; Forensic engineering; Medical emergency; Psychiatry; Engineering; Computer security; Computer science; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001578884,0.0001669313,0.0001952955,0.0002225645,0.0006118745,0.00003993924,0.0005195615,0.000119526,0.0001235515],"category_scores_gemma":[0.001955121,0.0001035157,0.0001151407,0.0002960747,0.00227153,0.0000956621,0.0001070773,0.0004473462,0.00004616597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009410702,"about_ca_system_score_gemma":0.00008316958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000494539,"about_ca_topic_score_gemma":0.00008230378,"domain_scores_codex":[0.9984674,0.0002227032,0.0002437423,0.0003246262,0.0004040768,0.0003374082],"domain_scores_gemma":[0.9974278,0.001754482,0.0002284598,0.0002351542,0.0001874958,0.0001666729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002209821,0.0008007528,0.521479,0.00002252614,0.001114778,0.00002372675,0.001440561,0.009357226,0.01515639,0.1691727,0.04851901,0.2307035],"study_design_scores_gemma":[0.003277393,0.002462557,0.7308185,0.00005055838,0.0002073806,0.00002022062,0.00007564445,0.09708367,0.1300757,0.02068812,0.01490362,0.0003366376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870705,0.00002003038,0.00006054879,0.002382639,0.002371457,0.0001616668,0.00001612927,0.00002620542,0.0078908],"genre_scores_gemma":[0.9981349,0.00004311823,0.00005367789,0.0009092407,0.0001449817,0.0000169974,0.000004668443,0.000007266553,0.0006852114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2303669,"threshold_uncertainty_score":0.8369548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364892627416732,"score_gpt":0.3941520992835424,"score_spread":0.3705031730093751,"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."}}