{"id":"W2016441917","doi":"10.1016/j.ypmed.2014.06.006","title":"Cycling-related crash risk and the role of cannabis and alcohol: a case-crossover study","year":2014,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health; Dalhousie University","funders":"Centre for Addiction and Mental Health","keywords":"Medicine; Cannabis; Crash; Poison control; Injury prevention; Driving under the influence; Logistic regression; Environmental health; Occupational safety and health; Odds ratio; Crossover study; Human factors and ergonomics; Suicide prevention; Demography; Psychiatry; Internal medicine","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":[0.00349768,0.0002030604,0.0005760012,0.0001094645,0.0003737687,0.000005454541,0.0001209662,0.0001923626,0.0005313503],"category_scores_gemma":[0.0009535609,0.000124511,0.00007484676,0.0002287966,0.002340741,0.00004808831,0.0001322175,0.0006815578,0.000007700343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001263503,"about_ca_system_score_gemma":0.00001717369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009593519,"about_ca_topic_score_gemma":0.0007126314,"domain_scores_codex":[0.9969264,0.001892548,0.0004708909,0.0003274789,0.0001307578,0.0002519271],"domain_scores_gemma":[0.9979938,0.001218393,0.000331436,0.0002161846,0.0001007186,0.0001394823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001464942,0.0006323472,0.888715,0.00004278025,0.002856448,0.0001353555,0.02767749,0.0001000417,0.001104249,0.00510212,0.001659604,0.07050961],"study_design_scores_gemma":[0.1081083,0.004189794,0.6023531,0.0001601465,0.02412518,0.00163711,0.03807514,0.05824519,0.006081772,0.1092954,0.04654051,0.001188371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917925,0.003197207,0.00006771023,0.0009920972,0.0002762188,0.0006035409,0.00001819948,0.00002714179,0.003025398],"genre_scores_gemma":[0.9978558,0.0002735877,0.00001656765,0.0003971891,0.0001059087,0.00004379042,0.000004726206,0.00001286601,0.001289503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2863619,"threshold_uncertainty_score":0.8624557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624727660559614,"score_gpt":0.3858046493530092,"score_spread":0.3595573727474131,"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."}}