{"id":"W2080076471","doi":"10.5539/ijef.v5n2p67","title":"The Ability of Explaining and Predicting of Economic Value Added (EVA) versus Net Income (NI), Residual Income (RI) & Free Cash Flow (FCF) in Tehran Stock Exchange (TSE)","year":2013,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predictability; Economic Value Added; Net income; Free cash flow; Cash flow; Passive income; Residual; Economics; Econometrics; Stock exchange; Mathematics; Statistics; Microeconomics; Public economics; Finance; Profit (economics); Gross income","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":[0.001892609,0.0001002022,0.0002560345,0.0002162756,0.00008138699,0.0001398038,0.0003447991,0.00005524915,0.00002746911],"category_scores_gemma":[0.0009776723,0.00008783372,0.00005334223,0.00005646101,0.0001176777,0.0006509023,0.0002578139,0.0001816722,0.000002335028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008124344,"about_ca_system_score_gemma":0.0001034248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602723,"about_ca_topic_score_gemma":0.001363426,"domain_scores_codex":[0.9986331,0.00002286872,0.0009026895,0.0001510052,0.000139876,0.0001503926],"domain_scores_gemma":[0.9979604,0.0003596474,0.001195499,0.0001503768,0.0003204322,0.00001361581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001050209,0.0001314212,0.8535806,0.000159961,0.0002095492,0.00001045536,0.0008334427,0.02698891,0.0001959772,0.02567224,0.0008406269,0.0903266],"study_design_scores_gemma":[0.002635776,0.00008019918,0.8468971,0.0002187153,0.00001375304,0.00001274091,0.0001797472,0.1316203,0.00004459432,0.01427444,0.00387222,0.0001503674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971739,0.0002618384,0.00002104895,0.001106586,0.0006925832,0.000131196,0.00001431389,0.00000230898,0.0005962076],"genre_scores_gemma":[0.9982502,0.0007956199,0.0004249166,0.00002499882,0.000449173,0.000007824045,0.000003292614,0.0000093407,0.00003457913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1046314,"threshold_uncertainty_score":0.3581755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0413324678167086,"score_gpt":0.2924094229320021,"score_spread":0.2510769551152935,"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."}}