{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002665971,0.0001410483,0.0001353568,0.0002400689,0.001091332,0.0001323725,0.0001640654,0.00004217088,0.0009499572],"category_scores_gemma":[0.00004861246,0.000150756,0.00008216442,0.000522016,0.00003043943,0.0006065989,0.0003040692,0.0003412209,0.00003411277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009299556,"about_ca_system_score_gemma":0.00001860773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220886,"about_ca_topic_score_gemma":0.00006420894,"domain_scores_codex":[0.9989687,0.00001939882,0.0002147313,0.0002572017,0.0002954784,0.0002444771],"domain_scores_gemma":[0.9996158,0.000009873693,0.0001601253,0.0001526495,0.00005230352,0.000009178781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003613875,0.001102314,0.7310439,0.0004383813,0.0001287764,0.0001888422,0.0003256236,0.01145685,0.06647769,0.06557535,0.03022299,0.09267794],"study_design_scores_gemma":[0.000421215,0.00006951722,0.03216245,0.00004419668,0.0001199806,0.0000230463,0.0002878108,0.1308985,0.0005657579,0.001735574,0.8332646,0.0004074207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9396554,0.0003331078,0.006049947,0.001096268,0.001918511,0.0006366614,0.0001261129,0.00214826,0.0480358],"genre_scores_gemma":[0.9974772,0.0000200896,0.0002751443,0.0003511583,0.001031782,0.00007004695,0.0002262249,0.00003606856,0.0005122916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8030416,"threshold_uncertainty_score":0.9999633,"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."}}