{"id":"W1558446631","doi":"10.1109/picmet.2001.952261","title":"Valuing private companies: a DEA approach","year":2002,"lang":"en","type":"article","venue":"","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Data envelopment analysis; Valuation (finance); Discounted cash flow; Cash flow; Econometrics; Contrast (vision); Business; Industrial organization; Actuarial science; Computer science; Economics; Finance; Mathematics; Mathematical optimization; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002576343,0.0001420502,0.0003145982,0.0003789969,0.0002524826,0.0004486187,0.00113628,0.00005707172,0.003251349],"category_scores_gemma":[0.001666929,0.00009365723,0.0001827834,0.002118182,0.0001355365,0.0002829345,0.0001733388,0.00013089,0.003815539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003025511,"about_ca_system_score_gemma":0.000008623299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001993453,"about_ca_topic_score_gemma":0.000005382128,"domain_scores_codex":[0.9964349,0.0002039657,0.0006342436,0.0006057894,0.001781375,0.0003397031],"domain_scores_gemma":[0.9978542,0.0007537167,0.0001644404,0.0009351024,0.0001820491,0.0001105342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003134804,0.002875112,0.07619416,0.00003024844,0.0002979079,0.00006541708,0.01603051,0.1456665,0.005313881,0.2542532,0.3136171,0.1856246],"study_design_scores_gemma":[0.0001833116,0.000024887,0.002429234,0.000004939567,0.00001940191,0.0000133398,0.0006265029,0.9510749,0.000192912,0.006579389,0.03863145,0.0002197524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2939306,0.0002706908,0.285507,0.0009392212,0.0001685445,0.0001371989,0.000001455597,0.0002027383,0.4188426],"genre_scores_gemma":[0.9627979,0.000004050512,0.02249986,0.0005066331,0.00005129932,0.000003541374,6.931925e-7,0.000009112301,0.01412689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8054084,"threshold_uncertainty_score":0.9976598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1866052402551307,"score_gpt":0.3629256602566087,"score_spread":0.176320420001478,"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."}}