{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001044473,0.0001019395,0.0004148293,0.0007353392,0.00005916679,0.000004180124,0.00008435356,0.00004094296,0.0002480329],"category_scores_gemma":[0.0003527615,0.00007881223,0.00005198896,0.0005838462,0.0001174841,0.00007867457,0.00003925961,0.0005052209,1.428101e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001812082,"about_ca_system_score_gemma":0.0003698691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008839611,"about_ca_topic_score_gemma":0.0002432001,"domain_scores_codex":[0.9983013,0.0001290376,0.0005293705,0.0001207351,0.0007473729,0.0001722266],"domain_scores_gemma":[0.9991803,0.000009948412,0.000264321,0.0001111438,0.0002054276,0.0002288973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005815269,0.0003234298,0.03387967,0.000331821,0.0001593491,0.0008036137,0.008543853,0.0005115191,0.2787532,0.0001854034,0.1233204,0.5473724],"study_design_scores_gemma":[0.09707873,0.0145601,0.2046686,0.0004250057,0.000270472,0.006234348,0.004477893,0.0008067002,0.01516053,0.0006046295,0.6554738,0.0002391947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951564,0.001778701,0.0001991233,0.04547207,0.0003436908,0.000212385,0.000002900089,0.00000553444,0.0004215793],"genre_scores_gemma":[0.9956842,0.0002279336,0.00002896579,0.0002243025,0.0005411669,0.000004428914,0.000003853037,0.0000137446,0.003271411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5471332,"threshold_uncertainty_score":0.3213869,"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."}}