{"id":"W656001148","doi":"","title":"Safety Evaluation of Red Light Camera and Intersection Speed Camera Programs in Alberta","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Spillover effect; Poison control; Transport engineering; Enforcement; Software deployment; Occupational safety and health; Human factors and ergonomics; Computer science; Engineering; Environmental health; Medicine; Political science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01099557,0.0004016799,0.0006130367,0.001561291,0.0002476899,0.00008314265,0.0004008848,0.0003905339,0.00009872275],"category_scores_gemma":[0.0004629582,0.0004141022,0.0001362124,0.002654786,0.0005271311,0.0008173348,0.00001296627,0.001520823,0.00003112106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005591589,"about_ca_system_score_gemma":0.000595601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02209452,"about_ca_topic_score_gemma":0.09890985,"domain_scores_codex":[0.9907315,0.001257266,0.001493844,0.0008180125,0.004435972,0.001263404],"domain_scores_gemma":[0.9941872,0.0004893563,0.0001414584,0.0004714402,0.004030007,0.0006805783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006929001,0.001409155,0.5080079,0.002398364,0.0005958809,0.0001709872,0.1521162,0.2030234,0.009050946,0.004720821,0.01103989,0.1005374],"study_design_scores_gemma":[0.008013473,0.001147362,0.9007338,0.000818615,0.0001180288,0.000002233777,0.04170271,0.02911425,0.002642791,0.001240506,0.01361261,0.0008535833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990264,0.0004895322,0.0002512696,0.001382226,0.0002861443,0.002523419,0.00009481228,0.0002086362,0.00449996],"genre_scores_gemma":[0.997767,0.000398247,0.0005901456,0.00001049328,0.0001141879,0.000262595,0.0005200402,0.00009921657,0.0002380854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3927259,"threshold_uncertainty_score":0.9998311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07943475001798496,"score_gpt":0.3498396473597247,"score_spread":0.2704048973417398,"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."}}