{"id":"W2278935030","doi":"","title":"PREDICTING COMPANY PERFORMANCE BY DISCRIMINANT ANALYSIS","year":2014,"lang":"en","type":"article","venue":"Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Return on assets; Return on equity; Linear discriminant analysis; Stock exchange; Econometrics; Financial ratio; Business; Debt-to-equity ratio; Sample (material); Quarter (Canadian coin); Equity (law); Statistics; Economics; Mathematics; Accounting; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008893709,0.0001116029,0.0001547303,0.0002656988,0.000158899,0.0002949907,0.000899506,0.00002481473,0.0001122365],"category_scores_gemma":[0.0003309546,0.00008276686,0.0001046023,0.0006130614,0.000066635,0.0005240189,0.0005509543,0.0001061254,0.0000233827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002822319,"about_ca_system_score_gemma":0.000006844826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002073848,"about_ca_topic_score_gemma":0.00001245328,"domain_scores_codex":[0.9983937,0.000002136912,0.0003599598,0.0002463615,0.0008166782,0.0001811569],"domain_scores_gemma":[0.9986913,0.00002002915,0.0005126001,0.0001116861,0.0006549956,0.000009414451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002633982,0.00007304276,0.8239597,0.0002154666,0.0002423511,1.211727e-7,0.00003346727,0.0001247324,0.001750171,0.1577952,0.005523067,0.01025637],"study_design_scores_gemma":[0.0003044127,0.00001105832,0.6326797,0.0001587374,0.0003330297,4.306868e-7,0.0002246701,0.3321772,0.0012084,0.003322783,0.0294041,0.0001754596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8243798,0.000003304519,0.0004986952,0.001719502,0.0002470173,0.0001534189,0.000001478461,0.00003990857,0.1729569],"genre_scores_gemma":[0.9959498,0.000009176455,0.0001427629,0.0002741419,0.0001556386,0.00002797266,0.000008320379,0.000007958783,0.003424246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3320525,"threshold_uncertainty_score":0.3375135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774747473796681,"score_gpt":0.2546961797567671,"score_spread":0.2269487050188003,"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."}}