{"id":"W219059023","doi":"","title":"Toronto Ten Years after amalgamation/Toronto Dix Annees Apres la Fusion Municipale","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Local government; Decentralization; Humanities; Public administration; Law; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005712351,0.0002992318,0.0002389216,0.0008213146,0.009066395,0.003108944,0.0009255726,0.001189428,0.01815398],"category_scores_gemma":[0.00165363,0.0003164475,0.0004641323,0.00192107,0.002898634,0.0008126156,0.002525564,0.001991509,0.001531453],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07340958,"about_ca_system_score_gemma":0.05769609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9794362,"about_ca_topic_score_gemma":0.9934144,"domain_scores_codex":[0.9983339,0.000093476,0.00004411326,0.0001103418,0.0006225178,0.0007956708],"domain_scores_gemma":[0.9974679,0.00009630869,0.0002444256,0.00008722248,0.0009271774,0.001177013],"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":[0.0007147327,0.000203212,0.2213691,0.001120599,0.0002038708,0.01607141,0.1790563,0.002439388,0.005689194,0.05493417,0.3707831,0.1474149],"study_design_scores_gemma":[0.00001644756,0.00008106481,0.303181,0.0002078038,0.00002905803,0.0003915603,0.04916825,0.0001038206,0.0006480119,0.000309485,0.645811,0.0000525554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7865248,0.01070502,0.0009372982,0.03860926,0.00256396,0.0001953476,0.006868796,0.0001729816,0.1534225],"genre_scores_gemma":[0.8462777,0.003344325,0.0004483653,0.002192628,0.0002024689,0.00005176363,0.002115524,0.00005888405,0.1453084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9265904,"threshold_uncertainty_score":0.5326263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333131255645897,"score_gpt":0.283248789858584,"score_spread":0.269917477302125,"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."}}