{"id":"W7113530277","doi":"","title":"Equalização fiscal no Brasil, Canadá e Austrália","year":2022,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Finance, Taxation, and Governance","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Ideal (ethics); Socioeconomic status; State (computer science); Feature (linguistics); Social inequality","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":[0.002957391,0.0003020548,0.0005270002,0.003208032,0.005312926,0.006917046,0.0007745912,0.001181974,0.007335691],"category_scores_gemma":[0.009443785,0.000306558,0.0003674492,0.006113314,0.003359232,0.001799715,0.002037483,0.002290497,0.0004334777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04626736,"about_ca_system_score_gemma":0.1051781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9278148,"about_ca_topic_score_gemma":0.9498035,"domain_scores_codex":[0.9963582,0.0003372517,0.0001043877,0.0002814312,0.001560509,0.001358215],"domain_scores_gemma":[0.9935704,0.0008618078,0.0005279666,0.0006365372,0.00310446,0.001298626],"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":[0.0001159638,0.00005226803,0.01215673,0.0002443842,0.00003566597,0.0003196122,0.003965789,0.00202697,0.0003448075,0.8470424,0.04369445,0.09000088],"study_design_scores_gemma":[0.00006086367,0.00003773299,0.06535762,0.001238324,0.0001091774,0.0004540718,0.007852833,0.003681874,0.0006472683,0.06584878,0.8545895,0.0001219991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1697404,0.01206856,0.002962586,0.03613006,0.0007248409,0.0001312354,0.003028855,0.0002544814,0.774959],"genre_scores_gemma":[0.9463533,0.009029876,0.003145661,0.002499566,0.0001946748,0.00005457139,0.0007024927,0.00008087094,0.0379389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07218516,"threshold_uncertainty_score":0.3356948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937562957524773,"score_gpt":0.2728701327023507,"score_spread":0.253494503127103,"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."}}