{"id":"W4210758642","doi":"10.32920/19071986.v1","title":"Toronto policy and missing middle housing: case studies for policy reform","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Zoning; Affordable housing; Outreach; Gentrification; Census; Plan (archaeology); Economic growth; Political science; Business; Public administration; Geography; Economics; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003295068,0.000275124,0.0004034169,0.001174057,0.007215487,0.004032553,0.001367511,0.002933237,0.006044791],"category_scores_gemma":[0.007517458,0.0002022123,0.0004786525,0.004309856,0.006841153,0.001962875,0.002691306,0.002374981,0.0001391541],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1379826,"about_ca_system_score_gemma":0.04773249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9067571,"about_ca_topic_score_gemma":0.9374169,"domain_scores_codex":[0.9961804,0.001739868,0.00007229424,0.0001463529,0.0005014632,0.001359553],"domain_scores_gemma":[0.9955013,0.002508076,0.0003901944,0.0002287194,0.0007279471,0.0006437546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000141261,0.0002636859,0.01364896,0.0004548781,0.00005146524,0.001895681,0.02444569,0.0132358,0.0003065869,0.8907081,0.03833045,0.01651751],"study_design_scores_gemma":[0.0003857298,0.0003477276,0.1171598,0.001492156,0.0002424543,0.0003751722,0.2042292,0.02143577,0.001210648,0.08723467,0.5657091,0.0001775289],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6216871,0.01511791,0.002464541,0.06969704,0.0002622806,0.0005039821,0.001036899,0.00004959703,0.2891806],"genre_scores_gemma":[0.9800047,0.004638844,0.0008171024,0.001860467,0.00005873405,0.0001304983,0.0001621252,0.00000825062,0.0123193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1379826,"threshold_uncertainty_score":0.999818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1098724046108387,"score_gpt":0.3186506217716462,"score_spread":0.2087782171608075,"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."}}