{"id":"W564553463","doi":"","title":"Metros and Gentrification In Montreal - A Survival Analysis Approach","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Economic geography; Public transport; Transit (satellite); Urban transit; Rail transit; Regional science; Rapid transit; Geography; Sociology; Transport engineering; Civil engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00147303,0.000341453,0.0003512074,0.002818327,0.002382628,0.002136699,0.001190073,0.000500551,0.006764037],"category_scores_gemma":[0.004153507,0.0001471207,0.0006188001,0.00388656,0.002564458,0.0007728357,0.001527608,0.0007522868,0.0001672805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01730997,"about_ca_system_score_gemma":0.009147745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9259023,"about_ca_topic_score_gemma":0.9346923,"domain_scores_codex":[0.999077,0.0002628153,0.00001229405,0.00009643157,0.00009802482,0.0004535195],"domain_scores_gemma":[0.9978886,0.0008400604,0.0003376792,0.0001327963,0.0003922897,0.0004084481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001364395,0.0001019327,0.6076103,0.00008415422,0.000273237,0.001037649,0.0115843,0.03277077,0.0005020537,0.2895681,0.006305945,0.05002515],"study_design_scores_gemma":[0.00003237861,0.0002117161,0.8152506,0.0001562594,0.0002462233,0.0002694994,0.02053084,0.0925146,0.0004384692,0.03329764,0.03689725,0.0001545581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651548,0.001092204,0.006429227,0.00156341,0.00002186328,0.00008668785,0.001549851,0.00005494745,0.02404708],"genre_scores_gemma":[0.9945447,0.0002516501,0.0006770863,0.00002854204,0.000008311216,0.00002377728,0.0002726595,0.00000592939,0.004187227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07409769,"threshold_uncertainty_score":0.1490681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09519568239898918,"score_gpt":0.4139929610813148,"score_spread":0.3187972786823256,"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."}}