{"id":"W2589606035","doi":"10.1016/j.drugalcdep.2016.12.024","title":"Estimating the harms and costs of cannabis-attributable collisions in the Canadian provinces","year":2017,"lang":"en","type":"article","venue":"Drug and Alcohol Dependence","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; University of British Columbia; University of Toronto; Dalhousie University; Canadian Centre on Substance Use and Addiction; Centre for Addiction and Mental Health","funders":"Ministère des Transports; Transport Canada","keywords":"Cannabis; Demography; Poison control; Harm; Confidence interval; Injury prevention; Medicine; Environmental health; Psychology; Psychiatry; Social psychology","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":[0.001653919,0.0008986532,0.000679735,0.005103101,0.001734874,0.00206874,0.002392315,0.0007365724,0.003514655],"category_scores_gemma":[0.01070752,0.0006677468,0.002265838,0.005362841,0.0008247737,0.0007159332,0.001412603,0.0008142188,0.0002543292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05776122,"about_ca_system_score_gemma":0.05017324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930893,"about_ca_topic_score_gemma":0.989714,"domain_scores_codex":[0.9976588,0.0003573826,0.0001526468,0.000228083,0.001032009,0.0005711628],"domain_scores_gemma":[0.9965774,0.0007549255,0.0006872145,0.0001342941,0.001529823,0.0003162209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003542185,0.0001009748,0.7830086,0.0006694951,0.001470211,0.0004300005,0.0005914117,0.166199,0.0002485874,0.007811815,0.006819251,0.03229642],"study_design_scores_gemma":[0.00008852914,0.0001333063,0.8032355,0.0006138913,0.0007726311,0.0004055094,0.002828434,0.1717648,0.0005156367,0.005730772,0.01371136,0.0001995014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202117,0.005053136,0.01404894,0.002095144,0.00007860521,0.0007528899,0.03680904,0.0001887489,0.02076183],"genre_scores_gemma":[0.9846394,0.002280475,0.00573087,0.00009919105,0.00001295529,0.0001055629,0.005368304,0.00002180512,0.001741388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05776122,"threshold_uncertainty_score":0.419089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03009711583429193,"score_gpt":0.3298834299421378,"score_spread":0.2997863141078458,"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."}}