{"id":"W1951587956","doi":"","title":"Adaptive Traffic Signal Control Pilot Project for the City of Surrey, Canada","year":2013,"lang":"en","type":"article","venue":"20th ITS World CongressITS Japan","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Transport engineering; Public transport; Scope (computer science); General partnership; Population; Control (management); Traffic signal; Atlanta; Traffic congestion; Geography; Engineering; Business; Computer science; Metropolitan area; Finance","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":[0.001491911,0.0005184584,0.0003355159,0.0005322314,0.001867417,0.001101731,0.0009253016,0.0004395755,0.004423298],"category_scores_gemma":[0.001441002,0.0002065382,0.0002378397,0.0005998988,0.0008903192,0.0004280984,0.0006183385,0.0005619922,0.0007985869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009787665,"about_ca_system_score_gemma":0.04166274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9241663,"about_ca_topic_score_gemma":0.9416751,"domain_scores_codex":[0.998714,0.0001970394,0.00002467359,0.0001281936,0.0006645864,0.0002715811],"domain_scores_gemma":[0.9962301,0.0001288303,0.00005226494,0.0001370076,0.002947282,0.0005045146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003344297,0.005483948,0.07761891,0.0006998855,0.0001789653,0.002400861,0.006301012,0.05789005,0.1482636,0.009564157,0.1524703,0.5357841],"study_design_scores_gemma":[0.001927831,0.009740619,0.3240583,0.0001932622,0.0002146042,0.0006329869,0.01444056,0.1755118,0.0684144,0.00126977,0.403284,0.000311891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8643939,0.0004182122,0.03770935,0.003291821,0.0002953104,0.005493729,0.007501973,0.004069959,0.07682584],"genre_scores_gemma":[0.8977845,0.0004141747,0.03612632,0.0003838445,0.00003109585,0.001052355,0.008866053,0.0001681221,0.05517352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07583374,"threshold_uncertainty_score":0.1525607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882896451011394,"score_gpt":0.207313546335178,"score_spread":0.188484581825064,"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."}}