{"id":"W2136774805","doi":"10.3141/1840-11","title":"Development of a Procedure for Estimating Expected Safety Effects of a Contemplated Traffic Signal Installation","year":2003,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Intersection (aeronautics); Warrant; Engineering; Transport engineering; SIGNAL (programming language); Signal timing; Risk analysis (engineering); Computer science; Operations research; Reliability engineering; Control (management); Artificial intelligence","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":[0.01281175,0.001139753,0.001090977,0.004265364,0.0007290127,0.001795145,0.002136434,0.001373882,0.01174912],"category_scores_gemma":[0.06127249,0.0007826173,0.00162893,0.002165107,0.0006974991,0.00138353,0.00171825,0.002266677,0.003810173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362922,"about_ca_system_score_gemma":0.004954867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008349649,"about_ca_topic_score_gemma":0.008994329,"domain_scores_codex":[0.9907447,0.003827876,0.0008514869,0.001002965,0.003371253,0.0002017237],"domain_scores_gemma":[0.9574854,0.03086674,0.002220778,0.002934888,0.006307556,0.0001847052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002785097,0.0004550359,0.016634,0.0006144256,0.000308014,0.0003670793,0.000471898,0.1645349,0.01132274,0.07906099,0.01676265,0.7091897],"study_design_scores_gemma":[0.0001747687,0.001182022,0.01966152,0.0002742331,0.0002304038,0.0009991922,0.0003915151,0.8377896,0.0342013,0.06903378,0.03573169,0.0003299621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002198703,0.00002315042,0.9947161,0.00004580589,0.00001491153,0.0006967906,0.0006648496,0.0006518488,0.0009877485],"genre_scores_gemma":[0.02140042,0.00006758422,0.9746444,0.00004121279,0.00001398575,0.001506798,0.0009645509,0.0001159312,0.00124519],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01281175,"threshold_uncertainty_score":0.06775582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04569514121070298,"score_gpt":0.324110988303902,"score_spread":0.278415847093199,"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."}}