{"id":"W3127656887","doi":"10.7163/przg.2020.4.7","title":"Władze regionalne w zarządzaniu metropolitalnym. Polskie doświadczenia w odniesieniu do Kanady i regionu metropolitalnego Toronto = Regional authorities in metropolitan governance. Polish experience in the context of Canada and Toronto city-region","year":2020,"lang":"en","type":"article","venue":"Przegląd Geograficzny","topic":"Local Governance and Planning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Context (archaeology); Corporate governance; Politics; Regional science; Political science; Public administration; Sociology; Geography; Law; Management; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009991124,0.0004920466,0.000845712,0.00007409236,0.0005605878,0.0001882006,0.001217809,0.0002609187,0.0002518976],"category_scores_gemma":[0.001107279,0.0004317481,0.0001955327,0.0009432909,0.001192598,0.001379021,0.0001911507,0.0004441427,0.000001844536],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003957415,"about_ca_system_score_gemma":0.0011034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925197,"about_ca_topic_score_gemma":0.9917078,"domain_scores_codex":[0.9942762,0.0007295796,0.0009424109,0.0008598363,0.001827755,0.001364246],"domain_scores_gemma":[0.9973981,0.0008017675,0.000528505,0.000534376,0.0002279934,0.0005092598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003926924,0.0002155528,0.148812,0.00009380713,0.00008291745,0.0001439379,0.1223389,0.000004718924,0.00003710644,0.6835393,0.04274158,0.00159748],"study_design_scores_gemma":[0.001572295,0.0003252883,0.1227214,0.0002157462,0.00004291268,0.00002737155,0.6915372,0.00004194725,0.00008315597,0.003183753,0.1794042,0.0008447618],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587898,0.03556944,0.00008096707,0.0233829,0.0007636782,0.001419445,0.0002318186,0.000116918,0.07964503],"genre_scores_gemma":[0.9935968,0.00233055,0.0001291225,0.002483466,0.0005217843,0.0000797044,0.00001678986,0.00003414572,0.0008076159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6803555,"threshold_uncertainty_score":0.9998662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455249496642156,"score_gpt":0.2869613396150686,"score_spread":0.2524088446486471,"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."}}