{"id":"W2513793406","doi":"","title":"Divergent affordability: Transit access and housing in North American cities","year":2014,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Geography; Regional science; Affordable housing; Economic geography; Political science; Transport engineering; Economic growth; Business; Public transport; Economics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002683207,0.0001838824,0.0004709355,0.000226103,0.0003968208,0.00005555328,0.0004676241,0.0001327471,0.0001240712],"category_scores_gemma":[0.00001262638,0.0002173443,0.0001152156,0.000444818,0.0006414946,0.0004774016,0.00003274688,0.000209666,0.00000220917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010003,"about_ca_system_score_gemma":0.0001361685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5537116,"about_ca_topic_score_gemma":0.9885165,"domain_scores_codex":[0.9986847,0.0001262137,0.0001464881,0.0003996645,0.0003341778,0.0003087241],"domain_scores_gemma":[0.9993237,0.00004425049,0.0002203802,0.0001873581,0.0001032622,0.0001211124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001195618,0.00004525446,0.7552076,0.0002114718,0.00002261615,0.000008506442,0.2378381,0.000007570915,0.00001087617,0.00005029122,0.00002828944,0.006449863],"study_design_scores_gemma":[0.0002250706,0.00003314582,0.8077381,0.00005376616,0.000072047,1.845544e-8,0.1911099,0.00001028567,0.00002752866,0.0001310303,0.0003812495,0.000217855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979437,0.00005149459,0.000008060319,0.0004487069,0.0001640259,0.0002805345,0.00003259334,0.00004433865,0.001026574],"genre_scores_gemma":[0.9789366,0.0002601362,0.0001053813,0.00001218332,0.00003577547,3.817856e-7,0.0001451692,0.00001165841,0.02049277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4348049,"threshold_uncertainty_score":0.8863046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580158043459608,"score_gpt":0.2437492666721567,"score_spread":0.2279476862375607,"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."}}