{"id":"W4388178390","doi":"10.2307/jj.8085270.10","title":"METROPOLITAN GOVERNMENT IN TORONTO:","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Island Studies and Pacific Affairs","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Regional science; Government (linguistics); Geography; Political science; Archaeology","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":[0.0001787493,0.0007510834,0.000303547,0.001187753,0.006022891,0.004238974,0.0006058187,0.001230874,0.07232681],"category_scores_gemma":[0.0005251837,0.0005601664,0.0002562372,0.004988171,0.001327251,0.00173433,0.001522721,0.00153786,0.008675748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03958128,"about_ca_system_score_gemma":0.02642052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.921931,"about_ca_topic_score_gemma":0.9868094,"domain_scores_codex":[0.9998088,0.00002231905,0.000007058317,0.00002537884,0.00005749719,0.00007896807],"domain_scores_gemma":[0.999848,0.00001520345,0.00001302161,0.00001264135,0.00004727994,0.00006383922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000191927,0.00001050016,0.001138107,0.0002625636,0.000007639866,0.0002951305,0.008308076,0.0003859532,0.0001493915,0.1543219,0.7773337,0.05776781],"study_design_scores_gemma":[0.00000122091,0.000001988208,0.002004043,0.00007229188,0.0000028697,0.00002004791,0.00213294,0.00003302909,0.00002810442,0.001235896,0.9944641,0.000003392344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005077339,0.05766761,0.0003274418,0.01337525,0.001386512,0.00003353467,0.001617461,0.0001276277,0.9203872],"genre_scores_gemma":[0.02678773,0.01535774,0.0002006782,0.0004976718,0.0001100861,0.00002335614,0.0003459927,0.00006172389,0.956615],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07806897,"threshold_uncertainty_score":0.2871836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667088285123541,"score_gpt":0.2971084078548477,"score_spread":0.2704375250036123,"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."}}