{"id":"W580991404","doi":"","title":"Measuring Benefits of Adaptive Traffic Signal Control: Case Study of Mill Plain Boulevard, Vancouver, Washington","year":2006,"lang":"en","type":"article","venue":"Transportation Research Board 85th Annual MeetingTransportation Research Board","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boulevard; Intersection (aeronautics); SIGNAL (programming language); Signal timing; Traffic signal; Adaptive control; Transport engineering; Control (management); Mill; Computer science; Geography; Environmental science; Real-time computing; Engineering; Archaeology; Artificial intelligence","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":[0.001384485,0.0004600269,0.0003517106,0.0009115813,0.003028782,0.001274047,0.001379765,0.0009850501,0.0009757957],"category_scores_gemma":[0.004408611,0.0003623967,0.0002484141,0.001825222,0.0009760444,0.0004296789,0.0006697301,0.0009080484,0.0001613414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0068507,"about_ca_system_score_gemma":0.00489181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7566572,"about_ca_topic_score_gemma":0.9071984,"domain_scores_codex":[0.9983667,0.0005463201,0.00006821963,0.0001588232,0.0005396469,0.0003203761],"domain_scores_gemma":[0.9958644,0.001190707,0.0002633145,0.0002489555,0.001887163,0.0005455614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001756102,0.009734766,0.8045357,0.0003044157,0.0005023653,0.01367806,0.01190202,0.02040173,0.006474985,0.001241188,0.004045679,0.1254229],"study_design_scores_gemma":[0.0004480524,0.00532416,0.9009791,0.00009265114,0.0002525437,0.001825328,0.0522352,0.02454072,0.005868303,0.0004128428,0.007874086,0.0001471141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980555,0.00003318636,0.0001037487,0.000056392,0.000001717678,0.00005499656,0.00003635692,0.000005283006,0.001652816],"genre_scores_gemma":[0.9977731,0.0001076326,0.000480659,0.00004720406,0.000002658118,0.00002904659,0.00008486357,0.0000039812,0.00147088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7566572,"threshold_uncertainty_score":0.4895518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04609363778497049,"score_gpt":0.2987576315662785,"score_spread":0.252663993781308,"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."}}