{"id":"W4388326307","doi":"10.1016/j.aap.2023.107344","title":"Vision Zero and Impaired Driving: Near and Longer-Term Opportunities for Preventing Death and Injuries","year":2023,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Traffic Injury Research Foundation","funders":"","keywords":"Poison control; Crash; Human factors and ergonomics; Engineering; Computer security; Injury prevention; Envelope (radar); Human error; Risk analysis (engineering); Zero tolerance; Task (project management); Transport engineering; Computer science; Psychology; Business; Medical emergency; Medicine; Reliability engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008607969,0.0003263723,0.0005925597,0.001068191,0.001116181,0.00241768,0.0006835516,0.001133087,0.007321166],"category_scores_gemma":[0.003111908,0.0002025616,0.00115829,0.0006227431,0.0006758554,0.002013044,0.001394805,0.001495509,0.000336212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351143,"about_ca_system_score_gemma":0.002403848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01566955,"about_ca_topic_score_gemma":0.03098784,"domain_scores_codex":[0.9993398,0.0001511625,0.00003517164,0.0001064991,0.0001051972,0.0002622194],"domain_scores_gemma":[0.9979771,0.000267375,0.0006399023,0.00006215418,0.0002724517,0.0007809859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001711127,0.001495803,0.7451978,0.0004324884,0.0004702707,0.0007842564,0.0006632879,0.0003586903,0.0010678,0.005702888,0.004664253,0.2374513],"study_design_scores_gemma":[0.00003859532,0.001140086,0.9828067,0.0002937542,0.0004472157,0.001221415,0.002802854,0.0005232547,0.0002910816,0.006543195,0.003830715,0.00006112787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308252,0.03327453,0.0009833287,0.01119099,0.0005215938,0.00002199262,0.0006887518,0.00004512763,0.02244835],"genre_scores_gemma":[0.9933879,0.004194949,0.0003192616,0.00024495,0.0002338991,0.000005620667,0.000167378,0.000004250883,0.001441762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01566955,"threshold_uncertainty_score":0.03115672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805288310120575,"score_gpt":0.2804954153613031,"score_spread":0.2524425322600973,"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."}}