{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004537835,0.001450116,0.0009093899,0.002846929,0.0003497202,0.002068134,0.0012595,0.0008543172,0.003318568],"category_scores_gemma":[0.01074782,0.0002841853,0.001386752,0.001525125,0.0004875282,0.001561209,0.0009638315,0.002026705,0.001445732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000900932,"about_ca_system_score_gemma":0.0006611181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005378955,"about_ca_topic_score_gemma":0.002827238,"domain_scores_codex":[0.9989198,0.000379823,0.00006400198,0.0002822058,0.0001944708,0.0001597484],"domain_scores_gemma":[0.9955473,0.003035846,0.0003572305,0.0002269768,0.0006668656,0.0001658107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001452512,0.001122977,0.2185787,0.0002934453,0.000481597,0.0003674011,0.0006487819,0.4488904,0.001835976,0.01146516,0.01077753,0.3040856],"study_design_scores_gemma":[0.00001806404,0.0001428762,0.01786392,0.00004861123,0.00005157666,0.00005665101,0.00009940892,0.9763451,0.0003404409,0.004333554,0.000679719,0.00001997358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8163097,0.001949968,0.1712422,0.001029656,0.0002861231,0.0002848959,0.001765967,0.0008739097,0.006257573],"genre_scores_gemma":[0.9821194,0.0003273278,0.01343578,0.00004293177,0.00006949374,0.0001196899,0.001485178,0.00003214076,0.002368048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005378955,"threshold_uncertainty_score":0.02399868,"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."}}