{"id":"W4416259796","doi":"10.32782/infrastruct86-11","title":"CHARACTERISTICS OF MODELS FOR ASSESSING THE FINANCIAL STABILITY OF BANKS: DOMESTIC AND FOREIGN EXPERIENCE","year":2025,"lang":"","type":"article","venue":"Market Infrastructure","topic":"Banking, Crisis Management, COVID-19 Impact","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Systemic risk; Asset (computer security); Market liquidity; Context (archaeology); Stress test; Financial stability; Financial crisis; Recapitalization; Stock exchange; Capital adequacy ratio","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009195284,0.001252599,0.0007940537,0.001585227,0.0007933832,0.002592748,0.0009900286,0.001141339,0.002146413],"category_scores_gemma":[0.0369522,0.0003993736,0.001107059,0.001629548,0.000793295,0.002526579,0.00135043,0.001491824,0.0003848106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002426564,"about_ca_system_score_gemma":0.001355382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01779527,"about_ca_topic_score_gemma":0.006655844,"domain_scores_codex":[0.9973991,0.00168371,0.0001543344,0.0002938875,0.0003409971,0.0001279926],"domain_scores_gemma":[0.9653432,0.03001425,0.00107857,0.001128219,0.002033179,0.0004024931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005052437,0.000258907,0.05636893,0.0001229768,0.0001863422,0.0002713953,0.001441065,0.8385896,0.0006705386,0.04990793,0.004550204,0.04712682],"study_design_scores_gemma":[0.00002431976,0.0001074187,0.004065095,0.0000592856,0.0000408001,0.00009368118,0.0003774785,0.9779487,0.0003624995,0.01447076,0.002419959,0.0000300423],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7143919,0.003083659,0.2419125,0.003292512,0.0001853456,0.000406389,0.001177954,0.001103834,0.03444595],"genre_scores_gemma":[0.9595976,0.001063095,0.03519597,0.0001131436,0.00005726544,0.0002035631,0.000643058,0.0001539754,0.00297222],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01779527,"threshold_uncertainty_score":0.04862988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817230120741998,"score_gpt":0.2853201201740347,"score_spread":0.2671478189666148,"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."}}