{"id":"W2051020818","doi":"10.3138/cjccj.2014.es05","title":"Cannabis Impaired Driving: An Evaluation of Current Modes of Detection","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Legislation; Cannabis; Driving under the influence; Reliability (semiconductor); Officer; Medicine; Government (linguistics); Effects of cannabis; Poison control; Medical emergency; Injury prevention; Environmental health; Computer security; Risk analysis (engineering); Psychiatry; Computer science; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0259542,0.0007010541,0.002250049,0.01397404,0.0006520849,0.003344032,0.002396733,0.001162847,0.001204523],"category_scores_gemma":[0.06422086,0.0007990124,0.002384709,0.006657802,0.001260149,0.0031826,0.001165281,0.001037366,0.0003404923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003842454,"about_ca_system_score_gemma":0.00487021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02239224,"about_ca_topic_score_gemma":0.03913627,"domain_scores_codex":[0.9851856,0.003697325,0.002862518,0.0016765,0.006255809,0.0003221862],"domain_scores_gemma":[0.8939,0.06821334,0.01126811,0.001275953,0.02464934,0.0006932376],"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":[0.0007359941,0.0001118552,0.1950731,0.04144223,0.002309898,0.0001506418,0.001114635,0.0003455035,0.0003539066,0.001170385,0.003030405,0.7541614],"study_design_scores_gemma":[0.0002610943,0.003802705,0.622335,0.1564006,0.02374388,0.009537501,0.007437854,0.0049753,0.00445268,0.004447996,0.1619701,0.0006352333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02394203,0.9692903,0.00111848,0.001693478,0.0001594299,0.0001277541,0.0007811734,0.00003162797,0.002855716],"genre_scores_gemma":[0.1931515,0.7977642,0.006361941,0.0009794589,0.000306396,0.0001663876,0.0008364982,0.00002042958,0.0004131525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9776077,"threshold_uncertainty_score":0.1372606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396529076346616,"score_gpt":0.3678297021863062,"score_spread":0.2281767945516445,"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."}}