{"id":"W3018799276","doi":"10.3390/admsci10020026","title":"The Dynamics between State Control and Metropolitan Governance Capacity","year":2020,"lang":"en","type":"article","venue":"Administrative Sciences","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Decentralization; Corporate governance; State (computer science); Control (management); Politics; Government (linguistics); Mandate; Public administration; Local government; Business; Political science; Economics; Geography; Management; Finance; Computer science","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":[0.002283597,0.0001320934,0.0001931874,0.001353104,0.001514874,0.003577583,0.0005615588,0.0004530136,0.006012395],"category_scores_gemma":[0.01124846,0.0001904113,0.0002429188,0.001470948,0.007140321,0.003474273,0.003490403,0.0008541035,0.0001370935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005519533,"about_ca_system_score_gemma":0.002352338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02686622,"about_ca_topic_score_gemma":0.02693036,"domain_scores_codex":[0.9974586,0.001100053,0.00007260001,0.0003088266,0.0003061111,0.0007538206],"domain_scores_gemma":[0.9901803,0.005556744,0.001748117,0.0005637649,0.0008792053,0.001071947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001268393,0.0001296204,0.1823249,0.00007306461,0.00008308055,0.0005077269,0.01769715,0.01880131,0.00115243,0.7564327,0.001482112,0.02118915],"study_design_scores_gemma":[0.0001037358,0.0002523569,0.5172044,0.000308675,0.0001259396,0.0004778623,0.06680903,0.05032893,0.001563146,0.312055,0.05063825,0.0001325137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9355361,0.0002179821,0.003605194,0.00194256,0.000008132523,0.00002619996,0.00007548665,0.00002087578,0.05856744],"genre_scores_gemma":[0.9993476,0.00002072186,0.00007835004,0.00001095842,0.000002131236,0.000004882361,0.000006538682,0.000001412587,0.0005272995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02686622,"threshold_uncertainty_score":0.05341971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1320253717452167,"score_gpt":0.4146244559003749,"score_spread":0.2825990841551582,"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."}}