{"id":"W3086570205","doi":"10.3390/jrfm13090212","title":"Bankruptcy Prediction with the Use of Data Envelopment Analysis: An Empirical Study of Slovak Businesses","year":2020,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV","keywords":"Bankruptcy; Data envelopment analysis; Bankruptcy prediction; Sample (material); Logit; Financial ratio; Logistic regression; Position (finance); Econometrics; Estimation; Reliability (semiconductor); Business; Actuarial science; Economics; Computer science; Finance; Statistics; Mathematics","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":[0.004243783,0.0002892108,0.0004983869,0.002078769,0.0005158655,0.00178417,0.0003409383,0.0005124903,0.0009828026],"category_scores_gemma":[0.01109721,0.0003112271,0.0008244893,0.00327135,0.0007587073,0.001571664,0.0009229189,0.0007175725,0.000238243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592736,"about_ca_system_score_gemma":0.001175402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111085,"about_ca_topic_score_gemma":0.004494627,"domain_scores_codex":[0.9984975,0.0006454414,0.0001913942,0.0001317488,0.0003291748,0.0002047652],"domain_scores_gemma":[0.9914736,0.005626961,0.001316329,0.0004481477,0.0008914424,0.0002436566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000250884,0.0007828696,0.9112815,0.0002182936,0.0001390412,0.0006450276,0.003809441,0.04191012,0.000472776,0.002415369,0.0006077333,0.03746699],"study_design_scores_gemma":[0.00001749337,0.0006302196,0.8898714,0.000272848,0.0001091575,0.000448365,0.01098769,0.09316626,0.001165752,0.001051738,0.0022291,0.00005006299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986952,0.0001264985,0.0005919186,0.00003831982,0.000001774435,0.00001740253,0.00004649703,0.000002642915,0.0004797779],"genre_scores_gemma":[0.9992868,0.0001664085,0.0003451096,0.0000045098,0.00000206098,0.000009933248,0.00007657253,0.000001222397,0.0001074517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0111085,"threshold_uncertainty_score":0.02244347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05693079668650387,"score_gpt":0.2526993333789682,"score_spread":0.1957685366924643,"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."}}