{"id":"W6936469213","doi":"10.57912/23883387","title":"METROPOLITAN GOVERNMENT: THE TORONTO EXPERIENCE","year":2023,"lang":"en","type":"dissertation","venue":"American University Research Archive","topic":"Commonwealth, Australian Politics and Federalism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Work (physics); Government (linguistics); Population","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":[0.0007542723,0.0002017576,0.0002356662,0.0006106476,0.01215461,0.004562333,0.000691675,0.000860245,0.02743608],"category_scores_gemma":[0.002763637,0.0003173396,0.0001601013,0.004204407,0.003529055,0.001793924,0.003206264,0.00140766,0.001272955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07193629,"about_ca_system_score_gemma":0.05235594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9684876,"about_ca_topic_score_gemma":0.9923519,"domain_scores_codex":[0.9986527,0.0002436341,0.00002992842,0.00007922301,0.000280881,0.0007137065],"domain_scores_gemma":[0.996933,0.0003329012,0.0002581328,0.0001139717,0.0004533202,0.001908744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003120928,0.0001356099,0.07414488,0.0005230919,0.00006520456,0.001920574,0.2040225,0.0009673706,0.0006369001,0.1784765,0.4813459,0.05744932],"study_design_scores_gemma":[0.00001751017,0.00004584567,0.1673991,0.0003040407,0.00002661481,0.0001813852,0.1717133,0.0002233378,0.0001856158,0.00169148,0.6581743,0.00003754686],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4452141,0.01861948,0.0002269581,0.0902181,0.0004444623,0.00004276578,0.003816792,0.00009713857,0.4413202],"genre_scores_gemma":[0.890771,0.007547192,0.00009385294,0.001102711,0.00008302803,0.00002228391,0.0005039608,0.00003994067,0.09983604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07193629,"threshold_uncertainty_score":0.5219368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05963566125519586,"score_gpt":0.4048437663986359,"score_spread":0.34520810514344,"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."}}