{"id":"W3121676944","doi":"10.2139/ssrn.3026125","title":"Estimating Terminal Values with Inflation: The Inputs Matter It Is Not a Formulaic Exercise","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Terminal (telecommunication); Inflation (cosmology); Econometrics; Computer science; Economics; Telecommunications; Physics","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003186654,0.0001507419,0.0001604063,0.0001211937,0.002299527,0.001451615,0.000531256,0.00004963207,0.0001584756],"category_scores_gemma":[0.0003600115,0.00009361676,0.00008165149,0.000116534,0.00009087599,0.001297509,0.000136236,0.0009986782,0.0002866128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320397,"about_ca_system_score_gemma":0.0006290043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002840546,"about_ca_topic_score_gemma":0.0002857723,"domain_scores_codex":[0.9976353,0.00001280856,0.0003413915,0.0001905973,0.0006362661,0.001183649],"domain_scores_gemma":[0.998459,0.00002858593,0.0007788644,0.0003769629,0.000341189,0.00001534293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006816942,0.00015892,0.5378333,0.0002461223,0.0002722592,0.00009713397,0.001054089,0.0009490675,0.0002661023,0.02453545,0.01993151,0.4139744],"study_design_scores_gemma":[0.004119111,0.0002706973,0.4551515,0.001377951,0.0005424651,0.001209304,0.001498136,0.1071246,0.0003091245,0.3966652,0.03043002,0.001301889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533257,0.00008696357,0.005586659,0.03096181,0.0002670398,0.0002950885,4.03019e-7,0.00003498624,0.009441338],"genre_scores_gemma":[0.9921291,0.00002683005,0.0002154168,0.001660308,0.001474369,0.000016709,0.000001910995,0.00002416433,0.004451184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4126725,"threshold_uncertainty_score":0.999585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792178656821909,"score_gpt":0.3070553328041104,"score_spread":0.2791335462358913,"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."}}