{"id":"W156754439","doi":"","title":"The Road Safety Monitor 2013: Drugs and Driving","year":2014,"lang":"en","type":"article","venue":"","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Medicine; Driving under the influence; Drug; Affect (linguistics); Human factors and ergonomics; Transport engineering; Environmental health; Poison control; Engineering; Psychology; Pharmacology; Political science; Law","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":[0.003068645,0.0007270818,0.0005120609,0.004308633,0.001518268,0.002621692,0.00115454,0.001264763,0.007779866],"category_scores_gemma":[0.008883018,0.0003630255,0.0007453755,0.007727352,0.0002913312,0.0009995411,0.001399772,0.001256829,0.003137228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007667097,"about_ca_system_score_gemma":0.02879116,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8231986,"about_ca_topic_score_gemma":0.8659725,"domain_scores_codex":[0.9931938,0.0003818136,0.0003290259,0.0002117686,0.005249551,0.0006340549],"domain_scores_gemma":[0.9869403,0.0005863755,0.001171619,0.0001921618,0.01026234,0.0008471753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001433928,0.0001141238,0.05609786,0.0007191366,0.00006576307,0.00004551891,0.0001625562,0.0003872518,0.0002138614,0.0005414898,0.8602829,0.08122607],"study_design_scores_gemma":[0.00003453009,0.000135545,0.3960915,0.0005701353,0.0001350225,0.00007044554,0.0006684447,0.0006613528,0.0008364666,0.0001572399,0.6005775,0.00006174556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.05129032,0.0321646,0.003234243,0.0582122,0.007906531,0.001927168,0.6547254,0.003415585,0.1871239],"genre_scores_gemma":[0.2262532,0.03775381,0.009864703,0.0192952,0.002820153,0.001248724,0.5851607,0.0005250678,0.1170785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8231986,"threshold_uncertainty_score":0.3556853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772688952982397,"score_gpt":0.3673692785195516,"score_spread":0.3396423889897276,"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."}}