{"id":"W7100259032","doi":"","title":"FEDERAL AND PROVINCIAL GOVERNMENT FISCAL BALANCES IN CANADA’S MAJOR CITIES","year":2006,"lang":"en","type":"article","venue":"","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Government (linguistics); Debt; Distribution (mathematics); Government revenue; Fiscal federalism; Fiscal policy","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":[0.000846212,0.0001949263,0.0002609606,0.004464059,0.003138532,0.001988152,0.0005241213,0.0001900629,0.002120434],"category_scores_gemma":[0.003842995,0.0002087654,0.000253043,0.007057949,0.0005722266,0.0004144467,0.0008925407,0.0003943651,0.0001160578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04141609,"about_ca_system_score_gemma":0.0337978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871768,"about_ca_topic_score_gemma":0.9948981,"domain_scores_codex":[0.9989173,0.00007968437,0.00004428616,0.0000777637,0.0005060458,0.0003748577],"domain_scores_gemma":[0.9975072,0.0002607218,0.0003536505,0.00005985552,0.001532546,0.0002861182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002553944,0.00002472231,0.9017314,0.00007932564,0.00008730707,0.0001578804,0.003529991,0.01465625,0.0005369953,0.02725671,0.007767559,0.04391642],"study_design_scores_gemma":[0.0000159856,0.00001237568,0.9750026,0.00004756171,0.00002858501,0.0000478554,0.003503705,0.00727238,0.0007529929,0.001771176,0.01152464,0.00002002135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958451,0.0004430327,0.001071492,0.0004434292,0.00001082246,0.00006016015,0.008340581,0.00004248851,0.0311369],"genre_scores_gemma":[0.9923355,0.0002245424,0.001228247,0.00003078318,0.000004912919,0.0000265009,0.00216063,0.00001043755,0.003978257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04141609,"threshold_uncertainty_score":0.3004962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004781653307143341,"score_gpt":0.2021298071506915,"score_spread":0.1973481538435482,"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."}}