{"id":"W2472639721","doi":"10.1016/j.aap.2016.06.011","title":"Program design for incentivizing ignition interlock installation for alcohol-impaired drivers: The Ontario approach","year":2016,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Hospital; Ministry of Transportation of Ontario","funders":"Ministère des Transports; Centre for Addiction and Mental Health","keywords":"Interlock; Recidivism; Poison control; Engineering; Occupational safety and health; Injury prevention; Operations management; Computer security; Medicine; Environmental health; Computer science; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005661463,0.0001673621,0.000219248,0.0001901648,0.000179857,0.00007737889,0.0001647308,0.00009496845,0.00003434832],"category_scores_gemma":[0.00002356038,0.000110194,0.00049539,0.0003383787,0.00002087865,0.0004460749,0.00002405336,0.00005937204,0.000005610506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003343972,"about_ca_system_score_gemma":0.00002365054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009814784,"about_ca_topic_score_gemma":0.01082344,"domain_scores_codex":[0.9989051,0.00006680265,0.0003611201,0.0002552129,0.0001656534,0.0002460956],"domain_scores_gemma":[0.9994009,0.0001201129,0.0001253889,0.0002168945,0.00009774947,0.00003901547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002764764,0.0004242189,0.08041886,0.00004073232,0.005886743,4.835788e-7,0.003294075,0.124219,0.002064876,0.0006215028,0.002125379,0.7806277],"study_design_scores_gemma":[0.005489809,0.0005846958,0.3612842,0.0002692865,0.008929425,0.000003642102,0.001001632,0.6035312,0.003848181,0.005365445,0.008641247,0.001051176],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1930725,0.00004310888,0.8048327,0.00005342044,0.0001037909,0.001531206,0.000001009333,0.0002334058,0.0001289221],"genre_scores_gemma":[0.9750963,0.00002654325,0.02319509,0.00000601326,0.00008586061,0.0007446246,0.0002288433,0.00002310754,0.0005936587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7820238,"threshold_uncertainty_score":0.6039736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04388623124298244,"score_gpt":0.2690134112694726,"score_spread":0.2251271800264902,"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."}}