{"id":"W2022767865","doi":"10.1016/j.progress.2006.07.005","title":"Comparing metropolitan governance: The cases of Montreal and Toronto","year":2006,"lang":"en","type":"article","venue":"Progress in Planning","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Collège Lionel Groulx","funders":"","keywords":"Metropolitan area; Politics; Opposition (politics); Corporate governance; Public administration; Political science; Democracy; Political economy; Civil society; Sociology; Economics; Geography; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002367376,0.00005245768,0.0001325667,0.000007220376,0.0002815555,0.00003120532,0.0000955344,0.00002808395,0.000006285782],"category_scores_gemma":[0.00005073471,0.00003972701,0.0000182437,0.00007361537,0.000446631,0.00009020884,0.0000379354,0.00004931257,1.866178e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347351,"about_ca_system_score_gemma":0.00001556458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3162836,"about_ca_topic_score_gemma":0.2392741,"domain_scores_codex":[0.9993787,0.0000560784,0.0001204151,0.00008335827,0.0001781756,0.0001832258],"domain_scores_gemma":[0.9996964,0.000152996,0.0000691384,0.00004324563,0.00002028935,0.00001792787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006049549,0.00001888949,0.8853385,0.000007059027,0.00000730867,0.000008521146,0.01324592,0.000004114134,3.643164e-7,0.09694771,0.0009986233,0.003416916],"study_design_scores_gemma":[0.0001972278,0.00002309268,0.954734,0.00006710026,0.000009658446,6.920168e-7,0.03282521,0.0001166123,0.000009596351,0.00231639,0.009610618,0.00008981633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6784273,0.142986,0.000003102448,0.0001443925,0.0001251355,0.000108391,0.000002866206,0.00002079722,0.178182],"genre_scores_gemma":[0.9992766,0.0002378787,0.0001004359,0.000007504495,0.0001581435,0.00001095737,5.823987e-7,0.000002874555,0.0002050201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3208493,"threshold_uncertainty_score":0.7746072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405987333618225,"score_gpt":0.3135701468602912,"score_spread":0.2729714134984687,"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."}}