{"id":"W4394700199","doi":"10.38116/9786556350509cap5","title":"Equalização fiscal e socioeconômica estadual no Brasil : lições canadenses e australianas","year":2023,"lang":"pt","type":"book-chapter","venue":"IPEA eBooks","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Political science","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":[0.001133861,0.0001898685,0.000289432,0.001504903,0.001196157,0.002058035,0.0003932336,0.0004340891,0.003201156],"category_scores_gemma":[0.004605747,0.0002163195,0.0002042072,0.0046121,0.001782177,0.00102687,0.001443545,0.00066159,0.000130293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006730776,"about_ca_system_score_gemma":0.0051376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5257789,"about_ca_topic_score_gemma":0.7209717,"domain_scores_codex":[0.9993991,0.0001387889,0.00002533178,0.00006729102,0.0002246155,0.0001448619],"domain_scores_gemma":[0.9985545,0.0005135974,0.0002789307,0.0001701494,0.0003346271,0.0001482038],"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":[0.0001406099,0.0001475841,0.1392115,0.0004366496,0.00008376416,0.0007817961,0.02573632,0.01131469,0.001214157,0.6490571,0.007571532,0.1643043],"study_design_scores_gemma":[0.00003245932,0.0001908765,0.6605896,0.0006978676,0.0001988025,0.0008143096,0.02702811,0.02628422,0.0007487647,0.1374558,0.1458657,0.00009344082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.83604,0.003931669,0.001893988,0.003058687,0.00002765559,0.00004016592,0.0004349168,0.00002475079,0.1545482],"genre_scores_gemma":[0.9867841,0.001968259,0.0008389855,0.00008229326,0.000005889875,0.00001211391,0.0000825233,0.000004589187,0.01022126],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4742211,"threshold_uncertainty_score":0.9540278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1161246672851466,"score_gpt":0.2726630027169993,"score_spread":0.1565383354318527,"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."}}