{"id":"W4402101961","doi":"10.32920/26866453","title":"Accessory Dwelling Units: A Tool for Ontario's Housing Crisis That Is Responsive and Gentle, but Hesitantly Adopted","year":2024,"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":"University of Toronto","funders":"","keywords":"Business","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":[0.0008081452,0.0001480065,0.000131432,0.000420866,0.00650232,0.003686965,0.0007972885,0.001381726,0.007971217],"category_scores_gemma":[0.002876658,0.000167963,0.0001771075,0.000771624,0.004498536,0.001386539,0.002097546,0.001139637,0.0005571367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02902825,"about_ca_system_score_gemma":0.04830923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.886909,"about_ca_topic_score_gemma":0.9716234,"domain_scores_codex":[0.9990251,0.0001677541,0.00002066616,0.00006210912,0.0004157212,0.0003086036],"domain_scores_gemma":[0.9987539,0.0001236097,0.0001535547,0.000114865,0.0002912331,0.0005627747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001557743,0.00007115071,0.0523994,0.0002659551,0.0000206925,0.001135718,0.01835697,0.001572685,0.003538572,0.4994063,0.2956905,0.1273863],"study_design_scores_gemma":[0.00002407763,0.00004094415,0.06283879,0.0001527627,0.000009942124,0.0002052454,0.0102952,0.0012062,0.0005012904,0.01484479,0.9098284,0.00005230388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2436191,0.003272775,0.0142295,0.2240013,0.0007775805,0.0003423902,0.001133826,0.0005851701,0.5120382],"genre_scores_gemma":[0.8441466,0.001258597,0.005971438,0.006712047,0.0001249781,0.0001030362,0.0002161775,0.0001080232,0.1413591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.113091,"threshold_uncertainty_score":0.227514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07750738271563537,"score_gpt":0.2551447180895574,"score_spread":0.177637335373922,"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."}}