{"id":"W2945859572","doi":"10.1111/add.14663","title":"Cannabis use as a risk factor for causing motor vehicle crashes: a prospective study","year":2019,"lang":"en","type":"article","venue":"Addiction","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kelowna General Hospital; University of Toronto; Dalhousie University; University of Victoria; University of British Columbia, Okanagan Campus; Centre for Addiction and Mental Health; Vancouver General Hospital; Victoria General Hospital; Royal Columbian Hospital; University of British Columbia","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research","keywords":"Cannabis; Motor vehicle crash; Injury prevention; Poison control; Human factors and ergonomics; Prospective cohort study; Risk factor; Suicide prevention; Medicine; Psychology; Occupational safety and health; Psychiatry; Medical emergency; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039421,0.0003837747,0.0002641364,0.00126326,0.001115211,0.0007363622,0.0004825684,0.0006531059,0.002143965],"category_scores_gemma":[0.001900571,0.0008161359,0.000483403,0.001058774,0.0004943518,0.0005998134,0.0006790791,0.0007484558,0.0004327243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003944222,"about_ca_system_score_gemma":0.000784322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02462261,"about_ca_topic_score_gemma":0.02686508,"domain_scores_codex":[0.9995116,0.0001100487,0.00004251307,0.000123453,0.0001205494,0.00009174692],"domain_scores_gemma":[0.9985235,0.0002366065,0.0004927195,0.000158012,0.0002639041,0.0003253402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005919948,0.00004653521,0.9994103,0.000003628621,0.00002355882,0.00008950438,0.00004780387,0.000009602882,0.00006552078,0.000007462523,0.00001747357,0.0002194072],"study_design_scores_gemma":[0.000008179524,0.000181521,0.9988546,0.000006221094,0.00003529727,0.0004316535,0.0002076668,0.0001224994,0.00003200551,0.00001353405,0.0001020703,0.000004734749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992208,0.0002028021,0.00007370349,0.00002227871,0.000003502736,0.00001728479,0.0001555092,0.000002565402,0.0003015452],"genre_scores_gemma":[0.999382,0.0001472903,0.00008058237,0.00001607731,0.000007804239,0.00001158677,0.0001852462,0.000001627296,0.0001677224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02462261,"threshold_uncertainty_score":0.0489586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05091803306734771,"score_gpt":0.3866369645938339,"score_spread":0.3357189315264862,"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."}}