{"id":"W4404480569","doi":"10.1080/15389588.2024.2413442","title":"Evaluating risks, monitoring cannabis use, and planning to get home safely: Exploring self-regulation processes associated with cannabis use and driving","year":2024,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Cannabis; Extant taxon; Poison control; Human factors and ergonomics; Injury prevention; Suicide prevention; Occupational safety and health; Driving under the influence; Psychology; Environmental health; Medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001113154,0.000209373,0.0002012755,0.0006223809,0.0006104931,0.001441178,0.000302477,0.0004433725,0.000881447],"category_scores_gemma":[0.004587327,0.0002448264,0.0004993165,0.000346408,0.0005692032,0.0005237589,0.0006957992,0.0006889586,0.000128837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007296212,"about_ca_system_score_gemma":0.0009113546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235007,"about_ca_topic_score_gemma":0.01874777,"domain_scores_codex":[0.99946,0.0002061972,0.0000419086,0.00005902726,0.0001635391,0.0000692064],"domain_scores_gemma":[0.9973049,0.0007627406,0.001136441,0.000139317,0.0003143957,0.0003422321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006271308,0.0003792318,0.9828365,0.0000419993,0.0000515172,0.00004318827,0.005582868,0.0001075724,0.0006025071,0.000106948,0.000066001,0.01011911],"study_design_scores_gemma":[0.000002671029,0.0001043236,0.9944605,0.0000214817,0.000020968,0.00006049236,0.00437717,0.0004778383,0.0001509424,0.00009148895,0.0002231624,0.000009006362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992719,0.00007000513,0.0001114262,0.0000467389,0.000001244985,0.00001492593,0.0000181471,0.00000177512,0.0004638676],"genre_scores_gemma":[0.9994192,0.0001034869,0.0002488274,0.0000147782,0.000001324465,0.00001196058,0.00003601582,7.405727e-7,0.0001637198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01235007,"threshold_uncertainty_score":0.0245564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1063571752067129,"score_gpt":0.3799311658598211,"score_spread":0.2735739906531082,"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."}}