{"id":"W7132865156","doi":"","title":"UTSC Commuting Patterns & Transit Reliability","year":2018,"lang":"en","type":"report","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Public transport; TRIPS architecture; Schedule; Reliability (semiconductor); Service (business); Global Positioning System; Travel time","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":[0.0003610364,0.0002207503,0.0001954761,0.001395605,0.000586594,0.001039923,0.0004081157,0.0002653616,0.007042306],"category_scores_gemma":[0.003737747,0.0001373003,0.0002196529,0.006074772,0.0003682052,0.0005069033,0.0005456237,0.0002788616,0.001205397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002665787,"about_ca_system_score_gemma":0.001217486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5026907,"about_ca_topic_score_gemma":0.6258298,"domain_scores_codex":[0.9993793,0.0000736494,0.00004635212,0.000119985,0.0002332213,0.0001474812],"domain_scores_gemma":[0.9972722,0.00051699,0.0008803434,0.0003011242,0.0007599224,0.0002694045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001630482,0.00003919791,0.9298702,0.0002230844,0.00008708569,0.0003305197,0.003499162,0.009647809,0.001063291,0.002628886,0.02516904,0.02727864],"study_design_scores_gemma":[0.000005227552,0.00003798936,0.96686,0.00005209315,0.00002833477,0.0002308825,0.003157388,0.009927126,0.0004830734,0.0002816656,0.01891076,0.00002556142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9487631,0.000583311,0.001687828,0.0005666827,0.00002338542,0.00004116691,0.03530479,0.0002205652,0.01280913],"genre_scores_gemma":[0.9876068,0.0002084337,0.0005956499,0.00002420802,0.00001265991,0.00001640229,0.008799584,0.00003523046,0.002700893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4973093,"threshold_uncertainty_score":0.9995295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126520403233326,"score_gpt":0.4173871777291696,"score_spread":0.304735137405837,"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."}}