{"id":"W4206295256","doi":"10.17771/pucrio.acad.51403","title":"SPREADS DE CRÉDITO E SUAS IMPLICAÇÕES MACROECONÔMICAS: UMA ANÁLISE PARA O CASO BRASILEIRO","year":2020,"lang":"pt","type":"dissertation","venue":"","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"","keywords":"Humanities; Political science; Physics; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004231824,0.001052669,0.001896552,0.0007049348,0.0006589466,0.0005388415,0.0009530759,0.001376801,0.004432036],"category_scores_gemma":[0.0005421084,0.001370651,0.0009904312,0.0009465243,0.0001728963,0.0004923731,0.0001604383,0.001022791,0.00433755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005189851,"about_ca_system_score_gemma":0.0004407823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002748786,"about_ca_topic_score_gemma":0.002155519,"domain_scores_codex":[0.9943126,0.0000502282,0.002320402,0.001870695,0.000158151,0.001287864],"domain_scores_gemma":[0.9963018,0.0002953379,0.001436067,0.001110118,0.000185808,0.0006709038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006386926,0.0009978211,0.5827355,0.001019926,0.0008334091,0.0002166244,0.01312809,0.0002313903,0.0007940113,0.2889349,0.07374831,0.03672123],"study_design_scores_gemma":[0.0012781,0.000327962,0.8052997,0.0001417158,0.0001871955,0.00003939836,0.001697037,0.01266767,0.0008349491,0.006990402,0.1683828,0.002153119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232439,0.00574847,0.01358868,0.001818259,0.004691,0.001565312,0.00402433,0.0003059297,0.04501415],"genre_scores_gemma":[0.9567378,0.003255145,0.001502044,0.0003238695,0.001998808,0.0002442539,0.004326525,0.000258769,0.03135276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2819445,"threshold_uncertainty_score":0.9999196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04091899081162488,"score_gpt":0.2859119168546628,"score_spread":0.244992926043038,"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."}}