{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02831889,0.001180047,0.002000703,0.002069851,0.001286467,0.002668278,0.002724572,0.001524498,0.002325907],"category_scores_gemma":[0.06571794,0.0007241957,0.002466265,0.002928091,0.0007253181,0.002564894,0.002183744,0.001388615,0.0002353484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795804,"about_ca_system_score_gemma":0.004255682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07678488,"about_ca_topic_score_gemma":0.04860965,"domain_scores_codex":[0.9871356,0.009364706,0.0005584364,0.001592092,0.0009935184,0.0003556184],"domain_scores_gemma":[0.945243,0.04389136,0.001664614,0.003209655,0.005277949,0.000713405],"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":[0.004071125,0.001570631,0.4094132,0.00138563,0.004525489,0.0003692112,0.00420704,0.1577888,0.004045403,0.01082481,0.004022584,0.3977762],"study_design_scores_gemma":[0.0004529076,0.001066152,0.05782625,0.000210635,0.001459847,0.0001833407,0.003023926,0.9180191,0.002722108,0.01109842,0.003801905,0.0001354159],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6504546,0.001080968,0.3404063,0.00179393,0.0002704865,0.0008428113,0.001333562,0.001254429,0.002562923],"genre_scores_gemma":[0.7883013,0.0002385675,0.2099298,0.0001103785,0.00004047179,0.0003647031,0.000369008,0.00008990704,0.0005557826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07678488,"threshold_uncertainty_score":0.1526759,"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."}}