{"id":"W2164159470","doi":"10.3141/1791-02","title":"Design and Implementation of Bus–Holding Control Strategies with Real-Time Information","year":2002,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Headway; Real-time Control System; Control (management); Point (geometry); Real-time data; Set (abstract data type); Computer science; Time point; Operations research; Simulation; Real-time computing; Transport engineering; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005047984,0.0001810741,0.00035704,0.000902137,0.000922128,0.0002361037,0.000467464,0.000156019,0.0005394047],"category_scores_gemma":[0.00008264755,0.0001403407,0.0001050353,0.001715763,0.0008182758,0.002553132,0.000001765302,0.0007416973,0.000009140702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346399,"about_ca_system_score_gemma":0.0006267605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01816535,"about_ca_topic_score_gemma":0.01744649,"domain_scores_codex":[0.9934652,0.001477013,0.00120676,0.0002170365,0.003039258,0.0005947686],"domain_scores_gemma":[0.9939739,0.001113769,0.000728287,0.0002080656,0.003715892,0.0002601195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004912485,0.0005365863,0.4994828,0.0008716052,0.0007398965,0.00009763204,0.2617654,0.1258436,0.01002424,0.04433403,0.008289758,0.04310193],"study_design_scores_gemma":[0.004685536,0.001506047,0.9271566,0.000467145,0.0001587603,7.177106e-7,0.05607391,0.001647563,0.0009984345,0.001504033,0.005468046,0.0003331571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628024,0.0001042367,0.03245499,0.002456149,0.0001334549,0.001429194,0.00005319993,0.00004114437,0.0005252172],"genre_scores_gemma":[0.9907272,0.002005626,0.006915738,0.00002250572,0.00006535065,0.00004559982,0.00002028876,0.0000234313,0.0001741994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4276738,"threshold_uncertainty_score":0.9883728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06752210414353563,"score_gpt":0.3797237726882229,"score_spread":0.3122016685446872,"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."}}