{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001693934,0.0002082616,0.0002318599,0.0003295401,0.001059745,0.0006362046,0.0002584071,0.0001817404,0.00001467967],"category_scores_gemma":[0.0003041839,0.0001994986,0.00006426527,0.0008118257,0.0001873561,0.001712342,0.0003235157,0.0005650627,0.0000231653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004409173,"about_ca_system_score_gemma":0.00002522252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009427101,"about_ca_topic_score_gemma":0.00005636358,"domain_scores_codex":[0.9977903,0.00003020755,0.0003291611,0.0005394537,0.0005411903,0.0007696467],"domain_scores_gemma":[0.9990535,0.00007001343,0.0001442724,0.0003104836,0.0004063756,0.00001538024],"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":[0.0002862875,0.0002742095,0.1634435,0.0005110486,0.00003481436,0.00001587036,0.0001257736,0.4267518,0.0008413622,0.1690438,0.01614132,0.2225302],"study_design_scores_gemma":[0.0003631092,0.00002132244,0.02569297,0.0000941473,0.00001664863,0.000003125326,0.00004852642,0.9532134,0.000005749681,0.003052466,0.01730197,0.0001865781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675114,0.0002811405,0.02636198,0.0002465683,0.0004083992,0.000239175,0.000005599748,0.000154409,0.004791287],"genre_scores_gemma":[0.9965206,0.0001100011,0.000364739,0.0002310277,0.00248438,0.00003353052,0.00002661018,0.00004085274,0.0001882796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5264616,"threshold_uncertainty_score":0.8150811,"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."}}