{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009291767,0.0001152665,0.0001515387,0.0000604745,0.0004169189,0.00003207235,0.0005262895,0.00005144519,0.006743558],"category_scores_gemma":[0.0002063445,0.0001322118,0.00004948711,0.0002287821,0.0002316183,0.0001651182,0.0005208502,0.0004697173,0.0002212691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453567,"about_ca_system_score_gemma":0.0001014192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005463808,"about_ca_topic_score_gemma":0.01037736,"domain_scores_codex":[0.9981074,0.000151503,0.0002699961,0.0004787744,0.0003785634,0.0006137642],"domain_scores_gemma":[0.999203,0.0001356615,0.0001009969,0.0004275339,0.000007528087,0.0001252885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001812292,0.0003514734,0.7404309,0.00002599032,0.00002143038,0.0001105344,0.001215069,0.05094006,0.001506073,0.002343382,0.04331853,0.1595554],"study_design_scores_gemma":[0.000423579,0.0001329823,0.2593545,0.000006260927,0.000001123161,0.00001043436,0.0003824345,0.005512923,0.00009035854,0.0003421552,0.7335085,0.0002346903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7208523,0.00001741242,0.000001684407,0.0002887076,0.0002320771,0.0002024352,0.00005495069,0.00001522373,0.2783352],"genre_scores_gemma":[0.959691,0.0003859283,0.0001602869,0.0002588945,0.00006064042,0.0001176515,0.00001509535,0.00002204422,0.03928847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.69019,"threshold_uncertainty_score":0.9941644,"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."}}