{"id":"W612248909","doi":"","title":"Toward Equitable Transit: Examining Transit Accessibilityand Social Need in Toronto, Canada, 1996-2006","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Census; Equity (law); Disadvantaged; Transit (satellite); Social equality; Disadvantage; Business; Population; Geography; Transport engineering; Economic growth; Economics; Political science; Sociology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007153977,0.0003128919,0.0002639999,0.001617395,0.002719979,0.00149447,0.001112818,0.000395032,0.002270339],"category_scores_gemma":[0.002834947,0.0002778418,0.000380383,0.006497968,0.0007924738,0.0006798413,0.001357706,0.0007227923,0.0002241027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07065494,"about_ca_system_score_gemma":0.04002663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998357,"about_ca_topic_score_gemma":0.9993824,"domain_scores_codex":[0.9992249,0.00004728906,0.0000541149,0.00007157555,0.0003611452,0.0002410242],"domain_scores_gemma":[0.9966469,0.0001502411,0.0006394511,0.00008355407,0.001784988,0.0006948343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007707618,0.00006080736,0.9695894,0.0001017681,0.00005508674,0.0001678735,0.01029218,0.0007810906,0.000267777,0.000897564,0.004571918,0.01313745],"study_design_scores_gemma":[0.000001697054,0.000009204862,0.9919764,0.0000221055,0.000008381505,0.0000146072,0.004776679,0.0002491919,0.00004281746,0.00001820556,0.00287521,0.00000545422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841343,0.0007387914,0.0001885315,0.001012057,0.00001465983,0.00006860901,0.007643914,0.0000102459,0.006188899],"genre_scores_gemma":[0.9904602,0.0005272304,0.0003147759,0.00007640554,0.000005692532,0.0000375174,0.003695247,0.000005885585,0.004877051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07065494,"threshold_uncertainty_score":0.5126399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09558461978317113,"score_gpt":0.3987270218326848,"score_spread":0.3031424020495137,"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."}}