{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004315392,0.0001596238,0.0002731326,0.0002724618,0.0002370037,0.0001816378,0.00005655527,0.00007774741,0.00001387224],"category_scores_gemma":[0.00002282186,0.0001560495,0.0001297142,0.0002810858,0.00003750905,0.000391323,0.00009330267,0.00006126338,0.00000137258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001752683,"about_ca_system_score_gemma":0.000008325298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007206732,"about_ca_topic_score_gemma":0.0002164115,"domain_scores_codex":[0.9990835,0.00003823721,0.0003000803,0.0002418713,0.0001246294,0.000211696],"domain_scores_gemma":[0.9995983,0.00007926454,0.00007174254,0.0001375245,0.0000298155,0.00008337458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000242543,0.0000310857,0.8268987,0.0001087529,0.001463681,0.000007016997,0.00184143,0.002318949,0.0005306174,0.0003396979,0.0007619147,0.1656739],"study_design_scores_gemma":[0.0003467022,0.00006630798,0.922563,0.00008466679,0.001180928,0.000002917795,0.0005422996,0.07375172,0.0001215811,0.0008589094,0.0002646148,0.0002163877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891942,0.0007930505,0.009331204,0.00008052363,0.00006032488,0.000228483,0.000001179893,0.0002648901,0.00004618861],"genre_scores_gemma":[0.9968093,0.001286691,0.0006405855,0.00000495942,0.00003419784,0.00003316681,0.0001076109,0.00002299662,0.001060472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1654575,"threshold_uncertainty_score":0.6363515,"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."}}