{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002950594,0.0008670503,0.0004786398,0.005044402,0.0002902906,0.001078429,0.0002697046,0.000475296,0.001704185],"category_scores_gemma":[0.00656148,0.00009845308,0.0004121391,0.001550441,0.0003195202,0.0006979709,0.0005951072,0.0004399186,0.001201711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000340593,"about_ca_system_score_gemma":0.00019762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253407,"about_ca_topic_score_gemma":0.0007061919,"domain_scores_codex":[0.9988425,0.0004447172,0.0000711343,0.000189163,0.0002854422,0.0001671432],"domain_scores_gemma":[0.9953731,0.002942211,0.0005221373,0.0002413163,0.0006683494,0.0002529188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007994674,0.0005497151,0.7225784,0.00009186276,0.0001824454,0.00017381,0.000368079,0.03096292,0.00691126,0.0009968585,0.001964223,0.234421],"study_design_scores_gemma":[0.00003883511,0.0007969287,0.6277387,0.00005947034,0.00009611112,0.000263418,0.000721472,0.3595606,0.005904104,0.003098649,0.00164993,0.00007184331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773026,0.0001849675,0.0186544,0.00009557326,0.00002625151,0.00005432612,0.000412718,0.0001357553,0.003133496],"genre_scores_gemma":[0.9964368,0.0000540708,0.002714494,0.000006689334,0.00002128635,0.00001912525,0.0004004786,0.000008119315,0.0003389049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005044402,"threshold_uncertainty_score":0.01560444,"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."}}