{"id":"W7154583593","doi":"10.66573/001c.133674","title":"A Data-Based Assessment of the Impact of Marijuana Legalization on Vehicle Accident Experience","year":2025,"lang":"en","type":"article","venue":"Variance","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legalization; Accident (philosophy); Automobile insurance; Observational study; Poison control; Case fatality rate; Human factors and ergonomics","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":[0.005195607,0.0002714141,0.0003061972,0.002871825,0.0003913085,0.001155734,0.000475171,0.0004174708,0.0009339084],"category_scores_gemma":[0.01966396,0.0001472963,0.0008302159,0.00253653,0.0003514669,0.0007793386,0.0008200434,0.0004545752,0.0001753639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156588,"about_ca_system_score_gemma":0.0009332364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02870526,"about_ca_topic_score_gemma":0.04092383,"domain_scores_codex":[0.9961504,0.001619258,0.000337095,0.000370413,0.001368749,0.0001541814],"domain_scores_gemma":[0.9788039,0.01292051,0.002730204,0.001338464,0.003609809,0.0005969905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003931048,0.0002120136,0.977401,0.00007441675,0.0005184358,0.00006087989,0.0002292628,0.005653024,0.0007446538,0.0003438163,0.0003484814,0.01402096],"study_design_scores_gemma":[0.000008763744,0.0004453564,0.9846548,0.00001454586,0.00008901944,0.00005149766,0.0003897176,0.01317036,0.0004029765,0.0001264828,0.0006305294,0.00001595688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994007,0.0001403072,0.001289787,0.0001182787,0.000007319787,0.00007509141,0.002862461,0.00002299936,0.001476649],"genre_scores_gemma":[0.9957737,0.00005246662,0.001184146,0.00001616398,0.000005150369,0.00003047591,0.002759781,0.000004210614,0.0001740473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02870526,"threshold_uncertainty_score":0.05707639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03992790519158049,"score_gpt":0.4269815597801949,"score_spread":0.3870536545886144,"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."}}