{"id":"W4239975318","doi":"10.32920/ryerson.14654760","title":"Tribunal troubles: an analysis of the potential effects of Bill 139 on housing affordability, and the transparency and efficiency of Ontario's land use planning and appeal system","year":2021,"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; York University","funders":"","keywords":"Transparency (behavior); Appeal; Tribunal; Autonomy; Business; Land use; Settlement (finance); Public administration; Public economics; Economics; Finance; Political science; Law; Engineering; Payment","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":[0.003695143,0.0001647667,0.0004217729,0.001076555,0.003768451,0.004505693,0.001489442,0.001332734,0.0105249],"category_scores_gemma":[0.02919876,0.0002973429,0.0007421831,0.002485283,0.005045802,0.001625263,0.002223001,0.001783214,0.0003020943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05673357,"about_ca_system_score_gemma":0.03107114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8999,"about_ca_topic_score_gemma":0.9220545,"domain_scores_codex":[0.9914175,0.00149882,0.0002339981,0.0003309607,0.003514326,0.003004308],"domain_scores_gemma":[0.9801807,0.009446101,0.003567743,0.0008012331,0.004776012,0.001228213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001127023,0.0005880182,0.4801213,0.0005699594,0.0002530591,0.004301313,0.05155177,0.01933026,0.002443894,0.3223428,0.03751726,0.07985336],"study_design_scores_gemma":[0.0001947652,0.0003213337,0.8406622,0.0001462687,0.000266033,0.0002450974,0.05914029,0.01137348,0.000882151,0.0161294,0.07054227,0.00009654724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668765,0.000301028,0.0008196466,0.005772918,0.00003578001,0.0002353227,0.0006633372,0.00002012025,0.1252754],"genre_scores_gemma":[0.9933274,0.00009917738,0.0001537609,0.00022894,0.00001345882,0.00003441205,0.00009849975,0.000008449894,0.00603596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1001,"threshold_uncertainty_score":0.4116327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280031300618646,"score_gpt":0.2146121562700327,"score_spread":0.1918118432638463,"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."}}