{"id":"W7089650737","doi":"10.4236/ti.2025.164011","title":"Artificial Intelligence and Capital Solvency Ratios: Theoretical Foundations, Empirical Evidence, and Systemic Implications","year":2025,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solvency; Systemic risk; Corporate governance; Capital requirement; Empirical evidence; Capital market; Financial market; Economic capital","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004647337,0.0005542117,0.0004535572,0.00276339,0.0005573704,0.004856825,0.0008919974,0.001393985,0.00425236],"category_scores_gemma":[0.02735132,0.0002491446,0.0002638029,0.002679162,0.008430681,0.00584419,0.002004375,0.001578273,0.0002590461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681004,"about_ca_system_score_gemma":0.001130725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382555,"about_ca_topic_score_gemma":0.0008386916,"domain_scores_codex":[0.9978915,0.000785353,0.0001379476,0.000318391,0.0007441504,0.0001225811],"domain_scores_gemma":[0.9474869,0.03998551,0.008464063,0.001316236,0.002168061,0.0005792232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002155378,0.0001982872,0.08140976,0.0006473183,0.0002725737,0.0003362079,0.001041576,0.03004601,0.0007938022,0.7565483,0.001477472,0.127013],"study_design_scores_gemma":[0.00003851935,0.0001066824,0.0488636,0.0004084214,0.0000893549,0.0001796031,0.001010417,0.02575872,0.001019963,0.915425,0.007047688,0.00005195727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6175398,0.03494737,0.0824429,0.03920666,0.0001799538,0.0001357932,0.0003454849,0.000229963,0.2249721],"genre_scores_gemma":[0.9940742,0.002792163,0.002267675,0.0003119022,0.00009172986,0.00001671948,0.00003057352,0.000006962847,0.0004081545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004856825,"threshold_uncertainty_score":0.02457774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04044717175305981,"score_gpt":0.2885612648518921,"score_spread":0.2481140930988323,"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."}}