{"id":"W4416372206","doi":"10.1086/mfj35030047","title":"Reflections on Measuring Urban Fiscal Health","year":2014,"lang":"en","type":"article","venue":"Municipal Finance Journal","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fiscal union; Fiscal imbalance; Measure (data warehouse); Fiscal policy; Fiscal federalism; Health indicator","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03336748,0.0008457219,0.001226515,0.003871954,0.002953999,0.01091742,0.002857474,0.0037979,0.004619485],"category_scores_gemma":[0.08010808,0.0004877918,0.0009046252,0.006419182,0.01763927,0.01647392,0.007477675,0.008061264,0.0004238514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0125155,"about_ca_system_score_gemma":0.01094169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07233118,"about_ca_topic_score_gemma":0.06765764,"domain_scores_codex":[0.9719582,0.01961547,0.001486164,0.001234184,0.003618496,0.00208744],"domain_scores_gemma":[0.9283491,0.0389275,0.007628375,0.003632207,0.01882267,0.002640078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001274932,0.0001744472,0.1100526,0.0008217369,0.0002467301,0.0001517048,0.02248389,0.00971215,0.0002931109,0.7012898,0.03924205,0.1154042],"study_design_scores_gemma":[0.00005761204,0.000295034,0.09318891,0.003776927,0.0001387932,0.000166625,0.1233053,0.005191014,0.002078211,0.6011337,0.1704182,0.0002497463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1171405,0.01477904,0.02680931,0.8002472,0.00178369,0.00008449666,0.001244046,0.00009754283,0.03781434],"genre_scores_gemma":[0.9373514,0.007307768,0.01824481,0.03086449,0.002449108,0.0001496036,0.000404317,0.00006847384,0.003160024],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07233118,"threshold_uncertainty_score":0.1764662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108280646367917,"score_gpt":0.3110695196047913,"score_spread":0.2002414549679996,"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."}}