{"id":"W1994682728","doi":"10.1080/02673030082342","title":"The Impact of Withdrawing Subsidies for New Rental Housing: Projections for Toronto and the Rest of Ontario","year":2000,"lang":"en","type":"article","venue":"Housing Studies","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Renting; Census; Economic rent; Stock (firearms); Rental housing; Public housing; Demographic economics; Business; Economics; Population; Economic growth; Public economics; Labour economics; Geography; Political science","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":[0.0004656761,0.0004217307,0.0002076001,0.0006216185,0.001005783,0.001003381,0.0006028811,0.0005191519,0.002323295],"category_scores_gemma":[0.001160606,0.000217298,0.0007859916,0.001037847,0.0005218501,0.0005749144,0.000761508,0.0004149847,0.00030975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03605822,"about_ca_system_score_gemma":0.01537623,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.986569,"about_ca_topic_score_gemma":0.9916509,"domain_scores_codex":[0.9994678,0.0000558956,0.0000172605,0.00002822781,0.0001904163,0.0002404564],"domain_scores_gemma":[0.9990434,0.00006113222,0.0001178713,0.00002309745,0.0005439781,0.0002104632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008856034,0.0001222986,0.7536293,0.0005310295,0.0003095929,0.002338835,0.003096133,0.1391827,0.003175299,0.01361496,0.04081462,0.04229966],"study_design_scores_gemma":[0.0000545677,0.0001156887,0.9308663,0.00008550869,0.0001244352,0.0002149348,0.004603676,0.04110631,0.0006526842,0.001120668,0.02100053,0.00005455896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662188,0.001135229,0.0006523428,0.002530664,0.00002638141,0.00006529431,0.01620869,0.00004545324,0.01311723],"genre_scores_gemma":[0.9880691,0.000970277,0.0003323765,0.00008915875,0.000007493609,0.00002291276,0.005638242,0.000005934087,0.004864473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03605822,"threshold_uncertainty_score":0.261622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05613961272394346,"score_gpt":0.2902900599165393,"score_spread":0.2341504471925959,"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."}}