{"id":"W7133451843","doi":"","title":"Bankruptcy Prediction Using Machine Learning Techniques","year":2022,"lang":"en","type":"article","venue":"ORBi UMONS","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Bankruptcy prediction; Stability (learning theory); Artificial neural network; Support vector machine; Feature (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002936447,0.0005220392,0.0007793312,0.006336081,0.0006747777,0.002702524,0.000839136,0.001273111,0.01630688],"category_scores_gemma":[0.02567231,0.0002906781,0.0005417611,0.002221301,0.0003709369,0.001264212,0.000566527,0.0009460692,0.01039259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003585827,"about_ca_system_score_gemma":0.001248032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002667387,"about_ca_topic_score_gemma":0.0032624,"domain_scores_codex":[0.9980118,0.0003930017,0.0001607102,0.0002155218,0.00111877,0.0001000608],"domain_scores_gemma":[0.9746132,0.008414214,0.001738301,0.001222516,0.01354943,0.0004623301],"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":[0.0003469714,0.0005145633,0.05472757,0.0006080059,0.0002865607,0.0009969069,0.00009721975,0.03399318,0.005540382,0.001378703,0.1368394,0.7646706],"study_design_scores_gemma":[0.0001274329,0.0002991689,0.07630357,0.0005829429,0.0003049985,0.0008287961,0.0003219571,0.8224699,0.01594313,0.006194631,0.07653507,0.00008836899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.634739,0.03367296,0.15603,0.01209841,0.01267045,0.001398012,0.01267108,0.01098985,0.1257302],"genre_scores_gemma":[0.9100687,0.004819547,0.02826404,0.0003049373,0.002512667,0.0001778432,0.01010215,0.0002415726,0.0435086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01630688,"threshold_uncertainty_score":0.05455196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664267574509113,"score_gpt":0.2221956791224267,"score_spread":0.2055530033773356,"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."}}