{"id":"W2032663363","doi":"10.1007/s10708-009-9270-0","title":"Social actors and their role in metropolitan governance in Montréal: towards an inclusive coalition?","year":2009,"lang":"en","type":"article","venue":"GeoJournal","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Metropolitan area; Corporate governance; Public administration; Human geography; Civil society; Work (physics); Government (linguistics); Political science; Economic growth; Public relations; Business; Sociology; Politics; Economics; Social science; Finance; Geography","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":[0.000886414,0.0001115991,0.0002002795,0.00005129818,0.0005451344,0.0001199452,0.0002795749,0.000108349,0.00007754237],"category_scores_gemma":[0.0001415969,0.00009767018,0.00004966429,0.0005195941,0.0002090276,0.0006706921,0.00003674816,0.0002593668,0.000002168991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007636786,"about_ca_system_score_gemma":0.000259854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2018405,"about_ca_topic_score_gemma":0.282281,"domain_scores_codex":[0.9984376,0.0002105767,0.0002281707,0.0002111511,0.0004316552,0.0004807958],"domain_scores_gemma":[0.9995381,0.00003767263,0.000161714,0.00006095075,0.00004708861,0.0001544863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001285346,0.0004327864,0.1544333,0.000004027374,0.0000129897,0.00006544865,0.2847898,0.00004215142,0.000306603,0.3792335,0.002619279,0.1779316],"study_design_scores_gemma":[0.0004248885,0.00007170749,0.8060675,0.00001681241,0.000001865748,0.000002094705,0.06642758,0.00007339572,0.00002407159,0.1174292,0.0093026,0.0001582196],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603297,0.0009809457,0.00001343603,0.01750769,0.0001131549,0.0001089976,0.00001468001,0.00001773911,0.02091362],"genre_scores_gemma":[0.9982182,0.0005340435,0.00005215353,0.0004970778,0.0004871271,0.000002819741,7.945928e-7,0.000004307588,0.0002034297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6516343,"threshold_uncertainty_score":0.8034745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370096830897253,"score_gpt":0.3207437345863429,"score_spread":0.3070427662773703,"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."}}