{"id":"W4243847693","doi":"10.1080/15389580309874","title":"The Alcohol Interlock: An Underutilized Resource for Predicting and Controlling Drunk Drivers","year":2003,"lang":"en","type":"review","venue":"Traffic Injury Prevention","topic":"Alcohol Consumption and Health Effects","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Alcohol Abuse and Alcoholism","keywords":"Interlock; Ignition system; Blood alcohol; Driving under the influence; Drunk driving; Poison control; Drunk drivers; Injury prevention; Medicine; Forensic engineering; Engineering; Environmental health","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":[0.01008301,0.0006783126,0.001036993,0.005690408,0.0009405844,0.003404796,0.002154742,0.0009416626,0.002878637],"category_scores_gemma":[0.05257184,0.0005774708,0.0005846179,0.005340661,0.0009085728,0.00430047,0.002000551,0.001459044,0.001074034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002581486,"about_ca_system_score_gemma":0.006902233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2695144,"about_ca_topic_score_gemma":0.354516,"domain_scores_codex":[0.9929635,0.003148027,0.0005547857,0.0006954604,0.002221862,0.0004164436],"domain_scores_gemma":[0.9551334,0.01735773,0.007044538,0.0042085,0.01403231,0.002223523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003300588,0.000100313,0.6725669,0.0004476935,0.0001940682,0.00006875713,0.0007920175,0.001201886,0.0001818455,0.0007543518,0.01820046,0.3051617],"study_design_scores_gemma":[0.00008589632,0.0004703448,0.8980509,0.003551641,0.000598405,0.000365691,0.006717339,0.01247945,0.001107718,0.002557974,0.07377702,0.0002377092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7053479,0.1296056,0.01524966,0.0703359,0.001654717,0.0006643973,0.04001893,0.001556745,0.03556617],"genre_scores_gemma":[0.9192078,0.04685495,0.0135519,0.002900214,0.001183686,0.000209015,0.01287152,0.0001517918,0.003069113],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2695144,"threshold_uncertainty_score":0.5358913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1441984508328852,"score_gpt":0.4481156614803786,"score_spread":0.3039172106474933,"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."}}