{"id":"W7112322791","doi":"","title":"A Fleeting Metropolitan Moment: Regional Governance and Municipal Collaboration in Greater Toronto during the COVID-19 Pandemic","year":2025,"lang":"en","type":"other","venue":"TSpace","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Metropolitan area; Demise; Corporate governance; Surprise; Politics; Economic shortage; Civil servants; Hurricane katrina; Pandemic; Commonwealth","routes":{"ca_aff":false,"ca_fund":true,"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":[0.003066892,0.0002276581,0.0002378933,0.0005960972,0.01765374,0.005619917,0.001425872,0.001242943,0.003520632],"category_scores_gemma":[0.005230536,0.0004245789,0.0002021896,0.001478571,0.01066171,0.001719277,0.006355465,0.001777729,0.0002118924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05768921,"about_ca_system_score_gemma":0.04227713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8376084,"about_ca_topic_score_gemma":0.9593791,"domain_scores_codex":[0.9950444,0.002347745,0.000104779,0.0003685292,0.000457884,0.00167671],"domain_scores_gemma":[0.9936773,0.0009237403,0.0007734073,0.0002253229,0.0005001812,0.003900004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007835442,0.00003557401,0.02764905,0.0001333319,0.00002555111,0.003004324,0.916348,0.0006182856,0.001133994,0.0204307,0.01709233,0.01345049],"study_design_scores_gemma":[0.0000102188,0.0000545984,0.05504454,0.0001229764,0.00001467117,0.0002168071,0.8079218,0.0003229617,0.0002009813,0.0007465234,0.1353032,0.00004081],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452074,0.001825816,0.0009909594,0.01918569,0.0002229392,0.00009712001,0.0001640183,0.00007344745,0.03223248],"genre_scores_gemma":[0.9942235,0.0003181014,0.00024927,0.0004885191,0.00002860639,0.00002067709,0.00004348472,0.00001398049,0.004613858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1623916,"threshold_uncertainty_score":0.4185665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07083030968419844,"score_gpt":0.4554234098999998,"score_spread":0.3845931002158013,"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."}}