{"id":"W4313394441","doi":"10.14392/asaa.2022150306","title":"PERFIL E NATUREZA CONTINGENTE DA DÍVIDA ATIVA PREVIDENCIÁRIA BRASILEIRA ENTRE 2012 E 2020","year":2022,"lang":"pt","type":"article","venue":"Advances in Scientific and Applied Accounting","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Physics; Political science; Philosophy","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":[0.001030775,0.0001714597,0.0001712148,0.0009421082,0.0003887556,0.001113498,0.0003152211,0.000239934,0.002911414],"category_scores_gemma":[0.003608097,0.0001816566,0.0002559801,0.00174207,0.0004067774,0.0005260687,0.0005385856,0.0003095758,0.0002833407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002147146,"about_ca_system_score_gemma":0.001852819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3873798,"about_ca_topic_score_gemma":0.5950639,"domain_scores_codex":[0.9994044,0.000111024,0.00004318106,0.0001262941,0.0001903116,0.0001248321],"domain_scores_gemma":[0.9976532,0.0005125562,0.0007061009,0.0001854132,0.0006994737,0.0002434037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006647126,0.0000207591,0.968003,0.00008168069,0.00005108489,0.00009966944,0.001654386,0.001333679,0.0007068549,0.00147752,0.001501201,0.02500362],"study_design_scores_gemma":[0.000002307525,0.0000413864,0.9912671,0.00003255582,0.00001733109,0.00003729537,0.001839343,0.001063138,0.0001446293,0.000162955,0.00538331,0.000008708067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797798,0.000443384,0.000742464,0.0004974654,0.00001077936,0.00004995379,0.00405002,0.00005806159,0.01436807],"genre_scores_gemma":[0.9955496,0.000197669,0.0005381835,0.00002893619,0.000003810166,0.00001919853,0.0008953415,0.000004291278,0.002763089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3873798,"threshold_uncertainty_score":0.77025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318898374052364,"score_gpt":0.3211782510794515,"score_spread":0.2879892673389278,"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."}}