{"id":"W1871307086","doi":"10.5430/afr.v3n2p124","title":"A “User Friendly” Bankruptcy Prediction Model Using Neural Networks","year":2014,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bankruptcy; Bankruptcy prediction; Sample (material); Artificial neural network; Business; Financial ratio; Simple (philosophy); Actuarial science; Accounting; Econometrics; Finance; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007163045,0.0004412378,0.0003436071,0.0005633324,0.0002404241,0.000638285,0.0004868593,0.0007168924,0.002373016],"category_scores_gemma":[0.002109942,0.0002227576,0.0002643679,0.000418586,0.00015813,0.0005792326,0.0003508345,0.0005256385,0.0004368896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000529512,"about_ca_system_score_gemma":0.000474652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060883,"about_ca_topic_score_gemma":0.01637685,"domain_scores_codex":[0.9998189,0.00008069521,0.00001126805,0.00003959512,0.00002615875,0.00002346502],"domain_scores_gemma":[0.9994497,0.0003649514,0.00003309147,0.00001718298,0.0001177112,0.00001734297],"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":[0.0003274578,0.0002888303,0.01776757,0.00004630722,0.00009546275,0.000145256,0.00006415095,0.8741612,0.001305448,0.0009144662,0.002589699,0.1022941],"study_design_scores_gemma":[0.000004708282,0.00001961844,0.001067513,0.000003027342,0.000005853776,0.000007502175,0.000006148697,0.9983622,0.000199338,0.0001830398,0.0001380245,0.000002871631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7679238,0.0004593573,0.2205983,0.0008334421,0.00009476571,0.000111877,0.0009840683,0.002096423,0.00689797],"genre_scores_gemma":[0.9643934,0.0001113301,0.03202965,0.00006322251,0.00002855715,0.00007089713,0.0005016328,0.00001959913,0.002781826],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02060883,"threshold_uncertainty_score":0.04097778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03419600151324535,"score_gpt":0.2855313626232578,"score_spread":0.2513353611100124,"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."}}