{"id":"W3115640594","doi":"10.3390/jrfm14010006","title":"Bankruptcy Prediction Models Based on Value Measures","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":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Uniwersytet Ekonomiczny w Krakowie","keywords":"Linear discriminant analysis; Discriminant function analysis; Bankruptcy; Sample (material); Econometrics; Bankruptcy prediction; Shareholder value; Actuarial science; Discriminant; Statistics; Computer science; Mathematics; Artificial intelligence; Shareholder; Economics; Finance","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":[0.000400254,0.0001830978,0.0002619108,0.0002570199,0.0002130227,0.0001571565,0.000171082,0.0000735409,0.00001934584],"category_scores_gemma":[0.0001397562,0.0001547741,0.0001457544,0.0003530926,0.00003626101,0.0007415789,0.00006907682,0.0002520641,0.00001531077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002806155,"about_ca_system_score_gemma":0.00001805639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004962234,"about_ca_topic_score_gemma":0.00000553159,"domain_scores_codex":[0.9986231,0.00001773492,0.0004502298,0.0002146378,0.0005003849,0.0001939612],"domain_scores_gemma":[0.9992613,0.00001979995,0.000429344,0.0001080832,0.0001462224,0.00003527158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002113212,0.000465189,0.01538698,0.0005479485,0.00005640551,0.0001866103,0.0002669077,0.1362787,0.00002691262,0.1493218,0.02499945,0.6703498],"study_design_scores_gemma":[0.004301048,0.0005072529,0.2447572,0.0004425833,0.0006607222,0.000003632416,0.0002489618,0.3649447,0.00002486702,0.03040976,0.3532018,0.0004974669],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1667484,0.000779702,0.7993587,0.002549552,0.002582203,0.0006888007,0.00006881656,0.0001790962,0.02704474],"genre_scores_gemma":[0.9944685,0.0003491949,0.0003842073,0.002482438,0.002273503,0.000005567644,0.00000789859,0.00001759755,0.00001108977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8277202,"threshold_uncertainty_score":0.6311503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491008015144629,"score_gpt":0.1850605818123455,"score_spread":0.1701505016608992,"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."}}