{"id":"W4387603725","doi":"10.1016/j.aap.2023.107327","title":"A case-control study of the impact of automated speed enforcement on motorist speeds and speeding violations in Rwanda","year":2023,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Traffic Injury Research Foundation","funders":"World Bank Group","keywords":"Poison control; Transport engineering; Occupational safety and health; Injury prevention; Human factors and ergonomics; Enforcement; Engineering; Control (management); Traffic speed; Electronic speed control; Suicide prevention; Law enforcement; Computer security; Automotive engineering; Computer science; Aeronautics; Medical emergency; Medicine; Political science","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":[0.000423416,0.0001158188,0.0002914047,0.0005265922,0.00005394126,0.00001480276,0.00008399866,0.00004332829,0.00007359343],"category_scores_gemma":[0.00002411801,0.00008503727,0.0002400215,0.001697746,0.00001078839,0.0000907592,0.00002987997,0.00008484576,0.000002390711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009683565,"about_ca_system_score_gemma":0.00001014369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006212324,"about_ca_topic_score_gemma":0.002083786,"domain_scores_codex":[0.999002,0.00007465373,0.0004596032,0.0001286322,0.0002032593,0.0001318241],"domain_scores_gemma":[0.9995434,0.00006482333,0.0001253069,0.0002036289,0.00003522363,0.00002761008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001387463,0.00007602041,0.4670235,0.000002800781,0.0008928681,0.000006953016,0.0007164159,0.5299361,0.0004290795,0.00001061824,0.00002602339,0.0008657724],"study_design_scores_gemma":[0.0005767596,0.00007712389,0.5953476,0.00001917219,0.0004752403,0.000001873905,0.0004994806,0.4028871,0.00005814471,0.00001369222,3.026954e-7,0.00004348454],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989709,0.0000240178,0.0002371477,0.000004743752,0.00005674086,0.0004407546,0.000002666014,0.0001182782,0.0001447031],"genre_scores_gemma":[0.9998749,0.00002107741,0.0000100356,4.754396e-7,0.00001707195,0.000006201135,0.00001064369,0.00000980688,0.00004977413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1283241,"threshold_uncertainty_score":0.3467719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581167703966875,"score_gpt":0.2950200594843954,"score_spread":0.2792083824447267,"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."}}