{"id":"W3011780364","doi":"10.3390/jrfm13030058","title":"Assessment of Bankruptcy Risk of Large Companies: European Countries Evolution Analysis","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Universitatea 'Dunărea de Jos' Galați","keywords":"Bankruptcy; Bankruptcy prediction; Actuarial science; Linear discriminant analysis; Business; Financial ratio; Tobit model; Panel data; Creditor; European union; Econometrics; Debt; Economics; Accounting; Finance; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009897248,0.0001673475,0.0005501217,0.0004416863,0.0001651365,0.00006493804,0.0002180149,0.00004377886,0.0000559867],"category_scores_gemma":[0.0001418191,0.0001439967,0.0002931109,0.00086136,0.00007608332,0.0004926742,0.0001847622,0.0001997809,0.000004528202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002966506,"about_ca_system_score_gemma":0.00002133963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000208978,"about_ca_topic_score_gemma":0.00006031524,"domain_scores_codex":[0.9982701,0.0000549522,0.0008463881,0.0001828099,0.0004624389,0.0001833177],"domain_scores_gemma":[0.9976804,0.0000316692,0.001781206,0.0001380208,0.0003435746,0.00002508049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002911049,0.0003201634,0.8753576,0.0007630623,0.000537802,0.00003509303,0.0003405302,0.003326307,0.00002461378,0.09961304,0.001624025,0.0177667],"study_design_scores_gemma":[0.0010682,0.0001055109,0.9580944,0.00008983934,0.002472309,4.103055e-7,0.0005098082,0.005526308,0.000004076097,0.0009350785,0.03106323,0.0001308195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7575395,0.0006362742,0.2372769,0.0001151375,0.0003071431,0.0001762254,0.0001196086,0.00001970246,0.003809539],"genre_scores_gemma":[0.9972497,0.001397656,0.0006101388,0.0001373822,0.0005719711,0.000001270603,0.00001249623,0.00001173356,0.000007626139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2397103,"threshold_uncertainty_score":0.5872014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006628385676886625,"score_gpt":0.2131482434206745,"score_spread":0.2065198577437878,"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."}}