{"id":"W4415778600","doi":"10.59254/sbpo-2025-212149","title":"APLICAÇÃO DO MÉTODO AHP-GAUSSIANO NA AVALIAÇÃO DE RISCO DE CRÉDITO: UMA ABORDAGEM MULTICRITÉRIO COM DADOS PÚBLICOS","year":2025,"lang":"","type":"article","venue":"Anais do Simpósio Brasileiro de Pesquisa Operacional","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Casa","funders":"","keywords":"Population; Identification (biology); Term (time); Risk factor; Data collection","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001825929,0.001887866,0.001509644,0.0005503589,0.003433099,0.001076092,0.002649631,0.001094327,0.02237582],"category_scores_gemma":[0.0003518209,0.001960058,0.001201667,0.001862498,0.002488101,0.001246553,0.002789593,0.002011403,0.00247426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002474067,"about_ca_system_score_gemma":0.0003801319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003211044,"about_ca_topic_score_gemma":0.0003243706,"domain_scores_codex":[0.9889243,0.0008527619,0.001796839,0.002857343,0.001821196,0.003747511],"domain_scores_gemma":[0.9953015,0.0007152847,0.0004841768,0.001881203,0.00007278086,0.001545013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004747157,0.002933566,0.8690226,0.0002284221,0.0007546627,0.000335123,0.003261236,0.006675022,0.01322185,0.001119261,0.01705197,0.08492156],"study_design_scores_gemma":[0.003303336,0.0004857005,0.9361086,0.0005425829,0.0005436672,0.0001694399,0.003307731,0.0145026,0.003541896,0.001264904,0.03407524,0.002154267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687397,0.006898292,0.005724617,0.004712665,0.001363088,0.001804711,0.001025395,0.0002553017,0.00947617],"genre_scores_gemma":[0.9816716,0.004660998,0.003762694,0.005633805,0.0003751408,0.0004097664,0.0001027358,0.0001683129,0.003214935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08276729,"threshold_uncertainty_score":0.9999609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123432215466827,"score_gpt":0.2756243329583611,"score_spread":0.2643900108036928,"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."}}