{"id":"W6908059707","doi":"10.25384/sage.c.4855086.v1","title":"Tracing Discretion in Planning and Land-Use Outcomes: Perspectives from Toronto, Canada","year":2020,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discretion; Zoning; Politics; Context (archaeology); Democracy; Value (mathematics); Local planning; Public participation; Transportation planning","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":[0.002287659,0.0003693977,0.0004280913,0.001945924,0.01193753,0.006959497,0.001357077,0.0007862074,0.006184297],"category_scores_gemma":[0.004894938,0.0002631314,0.0003213578,0.007717109,0.008081375,0.00154167,0.002464222,0.001691494,0.0002613779],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2155069,"about_ca_system_score_gemma":0.1457758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988821,"about_ca_topic_score_gemma":0.9996032,"domain_scores_codex":[0.9978077,0.0005564028,0.00006652272,0.0001644563,0.0005650905,0.0008398933],"domain_scores_gemma":[0.993553,0.00214642,0.0004984804,0.0002652946,0.002451664,0.001085166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003240338,0.0001765195,0.2484654,0.000662871,0.0001497033,0.00338782,0.3560775,0.00945159,0.001235011,0.2242775,0.05994039,0.09585179],"study_design_scores_gemma":[0.00002832304,0.00006929488,0.3604914,0.0008631795,0.00009934594,0.0002885624,0.4400503,0.003761791,0.0008363953,0.01379563,0.1795191,0.0001967198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7481246,0.008708711,0.001873605,0.02898089,0.00009876816,0.0001250167,0.005890195,0.00004877698,0.2061495],"genre_scores_gemma":[0.9853083,0.002823453,0.0006943588,0.0005327163,0.00001249005,0.00002004553,0.000568622,0.00003206958,0.01000789],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2155069,"threshold_uncertainty_score":0.9099008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05877632194021101,"score_gpt":0.3259712688055602,"score_spread":0.2671949468653492,"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."}}