{"id":"W2051546561","doi":"10.1080/00085030.2009.10757610","title":"Alcohol and Driving: The Development of Law Enforcement Countermeasures in Canada","year":2009,"lang":"en","type":"article","venue":"Canadian Society of Forensic Science Journal","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Driving under the influence; Law enforcement; Parliament; Legislature; Drunk driving; Enforcement; Test (biology); Law; Engineering; Political science; Business; Computer security; Criminology; Poison control; Psychology; Environmental health; Human factors and ergonomics; Medicine; Computer science; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00582392,0.0004958024,0.0004984988,0.005381088,0.008519061,0.006818593,0.003333189,0.002336229,0.006150488],"category_scores_gemma":[0.01266126,0.0004850811,0.0007989895,0.004650934,0.002464384,0.001356455,0.002167702,0.002327245,0.0003960179],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1566674,"about_ca_system_score_gemma":0.4671224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969018,"about_ca_topic_score_gemma":0.9985402,"domain_scores_codex":[0.9912634,0.0006951893,0.0003306628,0.0004265767,0.005523439,0.001760762],"domain_scores_gemma":[0.9750081,0.0013059,0.0009347619,0.0002336051,0.01907291,0.003444743],"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":[0.0002100046,0.0006582681,0.1077521,0.002980761,0.0002002827,0.00105708,0.008967238,0.003926984,0.001909331,0.05917203,0.1539224,0.6592436],"study_design_scores_gemma":[0.0001096656,0.0003856742,0.294966,0.004165073,0.0002851231,0.0002941301,0.01530868,0.005785575,0.001894247,0.003508461,0.6730052,0.0002920791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2254292,0.1573785,0.006324487,0.3018642,0.003634443,0.001970019,0.004089788,0.000504879,0.2988046],"genre_scores_gemma":[0.7978796,0.08923141,0.01452643,0.02807522,0.0004097162,0.0003456639,0.001958102,0.0001326323,0.06744114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1566674,"threshold_uncertainty_score":0.9781463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06111233564083843,"score_gpt":0.3280816372744492,"score_spread":0.2669693016336108,"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."}}