{"id":"W7024620557","doi":"","title":"A study on traffic signal patterns and performance measures accounting for pedestrian and vehicle flows","year":2023,"lang":"en","type":"other","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Signal timing; SIGNAL (programming language); Intersection (aeronautics); Pedestrian; Interval (graph theory); Function (biology); Control (management); Traffic signal; Pedestrian crossing; Intelligent transportation system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000122,0.0009483349,0.0003783799,0.001335194,0.0002597884,0.0008918155,0.0005667101,0.0005786322,0.001442467],"category_scores_gemma":[0.00522068,0.0001668915,0.000465698,0.002283204,0.000354445,0.0007984294,0.0002256058,0.0003405425,0.0001876811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009265896,"about_ca_system_score_gemma":0.0009748218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03064857,"about_ca_topic_score_gemma":0.02220904,"domain_scores_codex":[0.9993961,0.0002032718,0.00002667368,0.0001566922,0.0001209364,0.00009630722],"domain_scores_gemma":[0.997434,0.001415848,0.0004465763,0.0002432078,0.0003680121,0.00009235158],"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":[0.0003991965,0.0005740355,0.1499895,0.0002536094,0.0002404964,0.0002129628,0.00008261303,0.7355546,0.005894579,0.003142272,0.0009284283,0.1027277],"study_design_scores_gemma":[0.00001840325,0.0006351264,0.096963,0.0000343859,0.00009285166,0.0001267593,0.0002030329,0.8968965,0.002569787,0.001275236,0.001161318,0.00002358625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974194,0.0003082623,0.02272636,0.00009373591,0.00001751026,0.00004588759,0.0004986678,0.00006433454,0.002051193],"genre_scores_gemma":[0.9922705,0.0001617249,0.006695085,0.00001198264,0.000008693444,0.00001740701,0.0004339511,0.000009968414,0.0003907416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03064857,"threshold_uncertainty_score":0.06094038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03089143235807941,"score_gpt":0.2806299235604048,"score_spread":0.2497384912023254,"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."}}