{"id":"W2118268631","doi":"10.1111/j.1360-0443.2011.03731.x","title":"Why don't northern American solutions to drinking and driving work in southern America?","year":2012,"lang":"en","type":"article","venue":"Addiction","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Intervention (counseling); Work (physics); Crash; Suicide prevention; Law enforcement; Injury prevention; Poison control; Human factors and ergonomics; Data collection; Occupational safety and health; Environmental health; Driving under the influence; Drunk drivers; Business; Medicine; Political science; Engineering; Drunk driving; Law; Computer science; Sociology; Nursing","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":[0.003012558,0.0002176917,0.0003079415,0.0007344738,0.004309623,0.00264647,0.0005661384,0.0007323317,0.004831528],"category_scores_gemma":[0.00477462,0.0001975569,0.0002863587,0.001045376,0.004372883,0.002013958,0.00264408,0.001653718,0.0003849042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003186729,"about_ca_system_score_gemma":0.007337535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1641517,"about_ca_topic_score_gemma":0.4046346,"domain_scores_codex":[0.9990155,0.0003829756,0.00003067922,0.0001525267,0.0001419968,0.0002763159],"domain_scores_gemma":[0.9980878,0.0002645197,0.0002938244,0.00015713,0.000450689,0.0007460002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001853146,0.0003082173,0.4812607,0.0006905821,0.0001699531,0.001002614,0.1356183,0.000264296,0.002613659,0.05396332,0.0353316,0.2885915],"study_design_scores_gemma":[0.00004116825,0.000129983,0.5585651,0.001163461,0.0001538631,0.0007590549,0.2466039,0.0002888033,0.0008084499,0.02035674,0.1710521,0.00007744243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6916167,0.008965279,0.001781922,0.2185786,0.0008701583,0.00005827663,0.0001603204,0.00009045691,0.07787821],"genre_scores_gemma":[0.9771693,0.003962432,0.0007641364,0.01273082,0.0001234915,0.00005045842,0.00006316935,0.00002519237,0.005110973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641517,"threshold_uncertainty_score":0.3263924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639591726323735,"score_gpt":0.2525973934341701,"score_spread":0.2362014761709327,"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."}}