{"id":"W2268523232","doi":"10.1111/cag.12256","title":"Transit‐oriented development and gentrification along Metro Vancouver's low‐income SkyTrain corridor","year":2016,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gentrification; Subsidy; Low income; Renting; Immigration; Transit-oriented development; Transit (satellite); Economic growth; Subsidized housing; Geography; Business; Demographic economics; Public housing; Political science; Public transport; Transport engineering; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002290018,0.0001306961,0.0001360352,0.0006239438,0.008611505,0.00235488,0.0005194801,0.0005295186,0.01036544],"category_scores_gemma":[0.0007715185,0.0001015151,0.00008802112,0.001248254,0.001392952,0.0003522231,0.001941946,0.001198551,0.000377092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01656208,"about_ca_system_score_gemma":0.01991576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9584552,"about_ca_topic_score_gemma":0.9946626,"domain_scores_codex":[0.9994874,0.00006363605,0.00000534876,0.00002681958,0.00007598065,0.0003407556],"domain_scores_gemma":[0.9990196,0.00002856256,0.00006635574,0.0000130277,0.0002133012,0.0006591975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001845488,0.0003367549,0.6785696,0.0001912551,0.0000412815,0.002786824,0.08247852,0.0008645146,0.001544914,0.03799793,0.07461182,0.1203921],"study_design_scores_gemma":[0.00001511842,0.00006492491,0.6953785,0.0002334819,0.00001129966,0.0003672211,0.1733552,0.0003286567,0.0002068394,0.001478598,0.1285239,0.00003622935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9177219,0.0004008577,0.0001206963,0.005241725,0.00005518493,0.00004485164,0.0005741058,0.00001331293,0.07582733],"genre_scores_gemma":[0.9656854,0.0004438853,0.0001828324,0.0004344577,0.000009729116,0.00002081315,0.0002183029,0.000007736124,0.03299671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0415448,"threshold_uncertainty_score":0.1201669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008549330575497293,"score_gpt":0.2075144568381719,"score_spread":0.1989651262626746,"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."}}