{"id":"W3006532802","doi":"10.1061/jtepbs.0000332","title":"Transit Holding Control Model for Real-Time Connection Protection","year":2020,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transit (satellite); Scheduling (production processes); Transfer (computing); Transfer station; Public transport; Probabilistic logic; Sensitivity (control systems); Computer science; Rapid transit; Transit system; Control (management); Transport engineering; Operations research; Engineering; Operations management","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":[0.0008708154,0.001698613,0.001278039,0.0008062999,0.0008322595,0.002116174,0.002736656,0.002508087,0.01087257],"category_scores_gemma":[0.001430391,0.0006151432,0.001266184,0.0008233245,0.00116136,0.001202259,0.001114847,0.002173013,0.0008213784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002383052,"about_ca_system_score_gemma":0.001615481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04310493,"about_ca_topic_score_gemma":0.01513182,"domain_scores_codex":[0.9993304,0.0001332778,0.00002824914,0.0001946423,0.0001299784,0.0001835065],"domain_scores_gemma":[0.9991732,0.000333111,0.0001708921,0.00002937423,0.0002378021,0.00005554091],"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":[0.00003178965,0.00001767443,0.0001247222,0.00002867686,0.00001149562,0.00008284886,0.00002699971,0.9927578,0.0005347855,0.005170181,0.0002977774,0.0009152112],"study_design_scores_gemma":[0.000009046565,0.00002204758,0.00009063133,0.000003218127,0.00001257734,0.000009801129,0.000008942142,0.9986024,0.00009802126,0.000835673,0.0003025986,0.0000051113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09810896,0.001058323,0.8442405,0.001079758,0.000315424,0.0002434806,0.00160432,0.0008825985,0.05246667],"genre_scores_gemma":[0.963384,0.0003887524,0.007183293,0.0000737454,0.00004557943,0.0002527176,0.0004169453,0.00005612534,0.02819887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04310493,"threshold_uncertainty_score":0.08570802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297566373232986,"score_gpt":0.2444299667953392,"score_spread":0.2146733294720406,"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."}}