{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0205576,0.0003915966,0.0007641328,0.003069217,0.001640816,0.0002981103,0.0007496107,0.0004983247,0.000497502],"category_scores_gemma":[0.0005297784,0.0004110048,0.0003110139,0.009318414,0.001854311,0.002141298,0.00001331671,0.00172375,0.00005250913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004013096,"about_ca_system_score_gemma":0.0004749456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2301226,"about_ca_topic_score_gemma":0.4031005,"domain_scores_codex":[0.9866502,0.003050354,0.00134816,0.001217481,0.005089131,0.002644632],"domain_scores_gemma":[0.9944803,0.001350995,0.0002201056,0.0005932687,0.00218014,0.00117522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004113187,0.0007041603,0.9347485,0.0001572891,0.0001836823,0.0000176369,0.05315918,0.0001707127,0.0002002475,0.008200387,0.0002624521,0.001784438],"study_design_scores_gemma":[0.0009608433,0.0000775943,0.9501538,0.00003717974,0.0001541254,2.845002e-8,0.04335802,0.000152729,0.0001080748,0.0007124118,0.003898939,0.0003862282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846515,0.0009586876,0.001250018,0.0009306507,0.0001544193,0.0019208,0.0002780541,0.0001685183,0.009687357],"genre_scores_gemma":[0.9947295,0.0008240061,0.001427753,0.00002693846,0.0003673025,0.0005241401,0.0007556108,0.00005350489,0.001291283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.172978,"threshold_uncertainty_score":0.9998342,"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."}}