{"id":"W2605002870","doi":"10.1111/add.13777","title":"Cannabis use and crash risk in drivers","year":2017,"lang":"en","type":"letter","venue":"Addiction","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Cannabis; Confounding; Data extraction; Psychology; Critical appraisal; Selection bias; Odds ratio; Addiction; MEDLINE; Medicine; Psychiatry; Political science; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02014045,0.001309137,0.00259078,0.005252106,0.0009717432,0.003641834,0.001440574,0.002478085,0.003558665],"category_scores_gemma":[0.09459303,0.0007981232,0.0117189,0.004412256,0.000661613,0.001441218,0.002276784,0.002870584,0.0004716069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00239773,"about_ca_system_score_gemma":0.002331821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01787291,"about_ca_topic_score_gemma":0.02430585,"domain_scores_codex":[0.9849175,0.007858329,0.002892553,0.001752361,0.002184079,0.0003951672],"domain_scores_gemma":[0.9447476,0.0444425,0.004039696,0.001991173,0.004450333,0.000328773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.01208022,0.0001581153,0.2723688,0.1255625,0.3252115,0.0006453877,0.002217219,0.002773617,0.0007266912,0.008021389,0.03563677,0.2145977],"study_design_scores_gemma":[0.001489134,0.001419059,0.2357232,0.05683185,0.5728822,0.00168595,0.001442683,0.003747702,0.002154823,0.01509957,0.1068896,0.0006342032],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05495444,0.9099159,0.004582964,0.01724316,0.005781579,0.0002152416,0.004106932,0.00009075342,0.003109097],"genre_scores_gemma":[0.703869,0.2698594,0.005731119,0.01051894,0.004537954,0.0003754374,0.00277983,0.0001181105,0.002210121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02014045,"threshold_uncertainty_score":0.1065142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008121097937078037,"score_gpt":0.1885232342761065,"score_spread":0.1804021363390284,"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."}}