{"id":"W3127881312","doi":"10.5539/ijef.v13n3p1","title":"Financial Distress Prediction Using GA-BP Neural Network Model","year":2021,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Warning system; Computer science; Distress; Convergence (economics); Genetic algorithm; Field (mathematics); Artificial intelligence; Financial distress; Stability (learning theory); Core (optical fiber); Finance; Machine learning; Business; Economics; Financial system; Psychology; Mathematics; Telecommunications","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":[0.0005740463,0.0008410917,0.0006870496,0.0008168307,0.0003726004,0.0009051178,0.0008069616,0.0009151036,0.0008367064],"category_scores_gemma":[0.001798595,0.0002879174,0.0005122457,0.000918047,0.0002875885,0.0008232099,0.0003733031,0.0007080656,0.0001458654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008272222,"about_ca_system_score_gemma":0.0009457316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0479461,"about_ca_topic_score_gemma":0.02096489,"domain_scores_codex":[0.9996797,0.00008807277,0.00002291323,0.00008069882,0.00007696202,0.00005163616],"domain_scores_gemma":[0.9996729,0.000138978,0.00003741486,0.00001375968,0.000122423,0.00001453784],"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":[0.00004735423,0.00003642004,0.003284649,0.00002904756,0.00004088096,0.00006498794,0.00002127578,0.9786524,0.0005268971,0.0006369335,0.0004723473,0.01618682],"study_design_scores_gemma":[0.000002919995,0.000007537023,0.0004578213,0.000001884421,0.000005423647,0.000003713465,0.000003544687,0.9991884,0.00009186965,0.0001965304,0.0000373993,0.000003017045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.593922,0.001801141,0.3903695,0.0008488712,0.0002112148,0.0001927268,0.0004772593,0.0010993,0.01107795],"genre_scores_gemma":[0.9837695,0.0002972616,0.01418415,0.00004483051,0.00001678565,0.00006085268,0.0001713494,0.000009481849,0.00144591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0479461,"threshold_uncertainty_score":0.09533405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759363473318049,"score_gpt":0.2117922004787407,"score_spread":0.1941985657455602,"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."}}