{"id":"W593897669","doi":"","title":"The Toronto Metro: History, Demand, Performance","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Population; Metropolitan area; Transport engineering; Track (disk drive); Work (physics); Geography; Business; Engineering; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01599208,0.0004172765,0.0004367736,0.0006109964,0.005065608,0.0002240037,0.00143539,0.0004492391,0.002362471],"category_scores_gemma":[0.0009066511,0.0003762218,0.0002609814,0.001713584,0.002595205,0.001994486,0.00001058992,0.001564238,0.000230976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122925,"about_ca_system_score_gemma":0.002047884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1138604,"about_ca_topic_score_gemma":0.3786899,"domain_scores_codex":[0.9868371,0.002483126,0.001363587,0.001072232,0.005784453,0.002459439],"domain_scores_gemma":[0.9907184,0.00170625,0.0003126546,0.0007329397,0.005351412,0.001178371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003694278,0.0007811291,0.386034,0.0003840746,0.0002869795,0.000171288,0.3922216,0.00115872,0.0002644358,0.1433859,0.05322526,0.01839241],"study_design_scores_gemma":[0.001017498,0.0005068171,0.5272991,0.0001424202,0.00004914293,1.569953e-7,0.07230047,0.0001747978,0.0003502266,0.0008229156,0.3968063,0.0005301388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8856716,0.00333867,0.001792738,0.002402565,0.001458385,0.003427042,0.0002066332,0.0008997849,0.1008026],"genre_scores_gemma":[0.9811863,0.005281038,0.002598888,0.0001144713,0.0003409144,0.0006556468,0.0002750029,0.0001002448,0.009447444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3435811,"threshold_uncertainty_score":0.999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09734220556256362,"score_gpt":0.3727075863657461,"score_spread":0.2753653808031825,"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."}}