{"id":"W1983966847","doi":"10.1016/j.aap.2013.09.023","title":"An evaluation of Winnipeg's photo enforcement safety program: Results of time series analyses and an intersection camera experiment","year":2013,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Traffic Injury Research Foundation","funders":"","keywords":"Intersection (aeronautics); Enforcement; Crash; Transport engineering; Poison control; Autoregressive integrated moving average; Engineering; Computer security; Red light; Time series; Simulation; Statistics; Computer science; Mathematics; Environmental health; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007519352,0.0001674109,0.0003492188,0.00035752,0.0000545942,0.0000390828,0.000107495,0.0000744716,0.0006413841],"category_scores_gemma":[0.00001386958,0.0001552895,0.0001845226,0.0005404585,0.00003831901,0.000886738,0.00002471756,0.00005747938,0.000004958283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160882,"about_ca_system_score_gemma":0.00001848648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000869597,"about_ca_topic_score_gemma":0.001489733,"domain_scores_codex":[0.9982046,0.0001974911,0.0007395874,0.0002550678,0.0004573882,0.0001458207],"domain_scores_gemma":[0.9990338,0.00001302285,0.0002462998,0.0003558402,0.0002789843,0.00007202906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002941565,0.0006625312,0.01494902,0.00002837655,0.003807116,2.888814e-7,0.004328139,0.6536095,0.1340495,0.00005271759,0.0001545679,0.1880641],"study_design_scores_gemma":[0.001421293,0.0007277981,0.2184427,0.00006805546,0.00407968,0.000001127294,0.002908718,0.6587479,0.1131052,0.0001223113,0.00006085191,0.000314381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917812,0.0002209518,0.006622658,0.000009812398,0.0000527249,0.0006925227,0.000001635123,0.0001077211,0.000510797],"genre_scores_gemma":[0.9976308,0.0001168509,0.001542329,0.000001672936,0.00003215018,0.0001104881,0.0004588405,0.00001351221,0.00009332428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2034936,"threshold_uncertainty_score":0.7022706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514059752240951,"score_gpt":0.340580457709907,"score_spread":0.3154398601874975,"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."}}