{"id":"W2885340014","doi":"10.1177/0361198118790132","title":"Does Roadway Performance Affect Transit Headway Unreliability? Evidence from Mixed-Traffic Transit Corridors in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Headway; Transport engineering; Traffic congestion; Downtown; Public transport; Transit (satellite); Reliability (semiconductor); Level of service; Computer science; Engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001520472,0.0003632528,0.0004303624,0.001273213,0.002027849,0.001461406,0.001562041,0.000428394,0.00242461],"category_scores_gemma":[0.009241989,0.0003821793,0.0006180162,0.004428925,0.001629196,0.0006353229,0.001206247,0.0007116826,0.000241972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01735768,"about_ca_system_score_gemma":0.02169303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929646,"about_ca_topic_score_gemma":0.9967282,"domain_scores_codex":[0.9979324,0.0003181701,0.0001743287,0.0003042342,0.0008075793,0.0004632335],"domain_scores_gemma":[0.9869828,0.002252149,0.002573694,0.0008270125,0.00573499,0.001629379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007193417,0.00002079578,0.9936209,0.00003697494,0.00006445316,0.0001145632,0.002065751,0.0002854899,0.0001164041,0.0002274598,0.0005585289,0.002816775],"study_design_scores_gemma":[0.000002027752,0.00001501289,0.9971609,0.00002328545,0.00002226195,0.00001669141,0.002018983,0.0002619631,0.00003658902,0.00002081106,0.000413866,0.000007563254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995043,0.0003871404,0.0001809539,0.0002565563,0.000008285586,0.00001709396,0.002102224,0.000007876449,0.001996868],"genre_scores_gemma":[0.998349,0.0001919355,0.00008801579,0.00002750323,0.000002713726,0.000006637001,0.0008293297,0.000004180693,0.0005007115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01735768,"threshold_uncertainty_score":0.1259394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05664077586958917,"score_gpt":0.3767706353775017,"score_spread":0.3201298595079125,"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."}}