{"id":"W3021456852","doi":"10.3390/jrfm13050092","title":"Financial Compass for Slovak Enterprises: Modeling Economic Stability of Agricultural Entities","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":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agentúra na Podporu Výskumu a Vývoja; Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky","keywords":"Bankruptcy; Predictive modelling; Business; Agriculture; Finance; Computer science; Machine learning","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":[0.0003101295,0.0001663575,0.0004010275,0.0001227292,0.0001570637,0.0001036601,0.000193171,0.00005938873,0.00002225026],"category_scores_gemma":[0.0001321986,0.0001384236,0.0002293493,0.0001254145,0.00004880459,0.0006800408,0.0001320057,0.0001343003,0.000003614668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003660337,"about_ca_system_score_gemma":0.00002502529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001189914,"about_ca_topic_score_gemma":0.00006108468,"domain_scores_codex":[0.9987615,0.000009744985,0.0006729762,0.0001875899,0.0001782658,0.0001898857],"domain_scores_gemma":[0.999074,0.00002332989,0.0006226678,0.00007841971,0.0001809588,0.00002062856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.006615527,0.00117928,0.1712016,0.006797895,0.0003253589,0.00004785982,0.003532595,0.03351805,0.0006101034,0.4822787,0.02864326,0.2652498],"study_design_scores_gemma":[0.009270795,0.0007565912,0.7149849,0.0007274289,0.001568737,0.000006409609,0.005017169,0.04966568,0.0003156048,0.03183324,0.184665,0.001188434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135337,0.0002919214,0.08433363,0.0002315522,0.0007632006,0.0002918991,0.00006405677,0.0000164401,0.0004736267],"genre_scores_gemma":[0.9973182,0.0002917872,0.0005612103,0.0001916016,0.001602608,0.000008789092,0.00001135217,0.00000953806,0.000004929359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5437834,"threshold_uncertainty_score":0.5644752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440345167418087,"score_gpt":0.1937882638663934,"score_spread":0.1793848121922126,"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."}}