{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092051,0.0003540193,0.0004018218,0.00492409,0.0009186258,0.003104171,0.0004999726,0.0004902327,0.004752044],"category_scores_gemma":[0.006383879,0.00023358,0.0004943822,0.007746255,0.0007834828,0.001112966,0.000835,0.0005921597,0.0004157674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002010291,"about_ca_system_score_gemma":0.001540428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3050177,"about_ca_topic_score_gemma":0.3532858,"domain_scores_codex":[0.9993875,0.0001096353,0.00006007849,0.0001321518,0.000236182,0.00007451632],"domain_scores_gemma":[0.9968219,0.001044068,0.0007383646,0.0003680919,0.0008674924,0.000160061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001378373,0.00005762339,0.8439507,0.0003575593,0.0002846446,0.001079343,0.004422811,0.006763885,0.00198455,0.03346468,0.00613563,0.1013607],"study_design_scores_gemma":[0.00001157865,0.00006199186,0.9424251,0.0002551434,0.0001977916,0.0007042773,0.003903457,0.01445317,0.0007048828,0.007178226,0.03004992,0.00005438049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143333,0.005470089,0.007357441,0.001348544,0.00004943581,0.0001419267,0.004350451,0.0001919278,0.06675678],"genre_scores_gemma":[0.9911442,0.001512634,0.002083167,0.00003783903,0.00002338652,0.00002364366,0.0007829607,0.00002249863,0.004369714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3050177,"threshold_uncertainty_score":0.6064845,"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."}}