{"id":"W2111916919","doi":"","title":"FINDING THE DISCOUNT RATE FOR A PRIVATE FIRM USING PUBLIC COMPARABLES","year":2014,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Capital asset pricing model; Economics; Private information retrieval; Stochastic discount factor; Business; Microeconomics; Equity (law); Asset (computer security); Financial economics; Finance; Actuarial science; Monetary economics; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00239588,0.0001375013,0.0002390506,0.0002305391,0.001353931,0.0003556344,0.0004449398,0.00006502807,0.0001088626],"category_scores_gemma":[0.0009515457,0.0001264528,0.0001606918,0.0005007972,0.0002257811,0.0008907192,0.0002282933,0.0001357697,0.00005211013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006843213,"about_ca_system_score_gemma":0.00006935298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000980744,"about_ca_topic_score_gemma":0.0006062517,"domain_scores_codex":[0.9987282,0.00004684379,0.0002117996,0.0002683501,0.0003596957,0.0003851581],"domain_scores_gemma":[0.9985748,0.0002390669,0.0004697381,0.0002997713,0.000394093,0.00002253534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004922392,0.00004768835,0.03271576,0.000164775,0.00004679942,0.000002179684,0.0001947874,0.0007378308,0.00009285563,0.9642572,0.001490773,0.0002001405],"study_design_scores_gemma":[0.0005629931,0.00001414408,0.01342409,0.00003652012,0.00006157255,0.000001321135,0.001111274,0.07341748,9.771076e-7,0.8869288,0.02427576,0.0001650493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237942,0.00002827543,0.0723323,0.001287357,0.000218524,0.0003378799,0.000004370883,0.00005629804,0.001940849],"genre_scores_gemma":[0.9980887,0.000002783453,0.0006315133,0.0001633804,0.0003134679,0.000001408647,0.00002782365,0.00001632171,0.0007545688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07732838,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112478892176945,"score_gpt":0.2996446741813256,"score_spread":0.1883967849636311,"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."}}