{"id":"W4415507621","doi":"10.1093/clinchem/hvaf126","title":"Challenges in Responding to Cannabis-Impaired Motor Vehicle Drivers","year":2025,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human factors and ergonomics; Poison control; Injury prevention; Motor vehicle crash; Occupational safety and health; Vehicle safety","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":[0.01209805,0.0005622818,0.001114941,0.001635316,0.00914278,0.005996835,0.005679683,0.009293881,0.01046378],"category_scores_gemma":[0.05335478,0.0006282306,0.0008618844,0.0007325104,0.003306268,0.00558621,0.009073377,0.01129128,0.003662756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004618056,"about_ca_system_score_gemma":0.01810784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02826617,"about_ca_topic_score_gemma":0.03858104,"domain_scores_codex":[0.9871056,0.005934231,0.001053714,0.001106554,0.002424852,0.002374961],"domain_scores_gemma":[0.9692206,0.006706609,0.002688932,0.000700425,0.008752583,0.01193084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000270221,0.001440558,0.08551194,0.002130313,0.0002063807,0.01074626,0.06123978,0.001070001,0.00146601,0.005731468,0.3680049,0.4621823],"study_design_scores_gemma":[0.0001461743,0.001377517,0.05134518,0.009657745,0.0001894951,0.02244622,0.3880766,0.002779657,0.001214484,0.03097061,0.4913585,0.0004378582],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07197928,0.01437612,0.002790152,0.8826811,0.005868901,0.0003361362,0.0002029372,0.0003657906,0.02139955],"genre_scores_gemma":[0.5549312,0.03915127,0.01420437,0.3695386,0.008616728,0.00072778,0.000450484,0.000272317,0.0121071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02826617,"threshold_uncertainty_score":0.06398141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07393480790392758,"score_gpt":0.4092925206303294,"score_spread":0.3353577127264019,"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."}}