{"id":"W4377251877","doi":"10.1515/9780773557826-007","title":"Toronto the Not-So-Good","year":2019,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sociology","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":[0.0003065779,0.0005868927,0.000361775,0.0005748859,0.003947514,0.004604198,0.0004270123,0.001677162,0.2088367],"category_scores_gemma":[0.0008531379,0.0003338687,0.0001829959,0.001445883,0.001940927,0.002581789,0.001930603,0.002029569,0.03047847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01212108,"about_ca_system_score_gemma":0.008579724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3497873,"about_ca_topic_score_gemma":0.7310971,"domain_scores_codex":[0.9996812,0.00004634279,0.000007193812,0.00006468142,0.0001082698,0.00009224058],"domain_scores_gemma":[0.9996995,0.00002966507,0.00001842471,0.00004289537,0.00007475052,0.0001348547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002143721,0.000006447406,0.0002158842,0.00005683603,0.000002519613,0.00009188503,0.0004850863,0.0000574331,0.00008340934,0.1227628,0.8447267,0.03148955],"study_design_scores_gemma":[0.000001152254,0.000001273743,0.0002343463,0.00002725997,6.611388e-7,0.00001301774,0.000125603,0.000009413894,0.00001848804,0.001512075,0.998055,0.000001603517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001230002,0.02462654,0.000277646,0.02427896,0.003476099,0.00001009794,0.001038169,0.0001140143,0.9449486],"genre_scores_gemma":[0.01122729,0.005408072,0.0001471355,0.001406621,0.0002183195,0.00000605627,0.0001585921,0.00006679911,0.9813612],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6502128,"threshold_uncertainty_score":0.6986283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131328409695695,"score_gpt":0.1866238093409775,"score_spread":0.1653105252440205,"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."}}