{"id":"W4205133903","doi":"10.1056/nejmsa2109371","title":"Cannabis Legalization and Detection of Tetrahydrocannabinol in Injured Drivers","year":2022,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Institute of Population and Public Health","keywords":"Cannabis; Legalization; Poison control; Occupational safety and health; Injury prevention; Suicide prevention; Human factors and ergonomics","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":[0.0007202917,0.0001875444,0.0002133486,0.001396886,0.0009347461,0.0008808958,0.001024758,0.000375366,0.002565491],"category_scores_gemma":[0.005300693,0.0003545098,0.0003888536,0.001559252,0.0007565911,0.000312228,0.0007168148,0.0006982351,0.0002071044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005318286,"about_ca_system_score_gemma":0.005702373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7909276,"about_ca_topic_score_gemma":0.8251209,"domain_scores_codex":[0.9989548,0.0001290157,0.00008410533,0.0001379938,0.0003646706,0.0003294358],"domain_scores_gemma":[0.9943746,0.0006295107,0.003080085,0.0001581534,0.001207886,0.0005496725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002647601,0.00001090484,0.9994443,0.000004771902,0.00001186302,0.00001739505,0.00005362281,0.00002498084,0.00003316437,0.000007539528,0.00003312205,0.0003318501],"study_design_scores_gemma":[0.000001342876,0.00001481744,0.9994296,0.000007491682,0.000008878073,0.00005524687,0.000188449,0.000135957,0.00005045332,0.000007072415,0.00009826219,0.00000229514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985884,0.0002113785,0.00006098318,0.00007223838,0.000003309704,0.00001483989,0.0004501488,0.000003099528,0.0005956054],"genre_scores_gemma":[0.9993211,0.0001195358,0.00005485077,0.00002131266,0.000003018798,0.000004986527,0.0002601313,0.000001308672,0.0002138374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7909276,"threshold_uncertainty_score":0.4206072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062983971259086,"score_gpt":0.2719352213574129,"score_spread":0.261305381644822,"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."}}