{"id":"W2408657975","doi":"","title":"The Use of Financial Multipliers by Estimating the Value of Biopharmaceutical Companies (Использование Финансовых Мультипликаторов при Оценке Стоимости Биофармацевтических Компаний)","year":2014,"lang":"ru","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Biopharmaceutical; Valuation (finance); Multiple; Volatility (finance); Market value; Business; Enterprise value; Book value; Equity (law); Econometrics; Actuarial science; Economics; Accounting; Mathematics","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.007312891,0.000459209,0.0007464747,0.0001133062,0.002638213,0.0002594845,0.002083852,0.0004547256,0.00009416582],"category_scores_gemma":[0.002862294,0.00028663,0.0003981546,0.0005850876,0.003205851,0.0003452068,0.0003612554,0.003732477,0.00003469959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008426562,"about_ca_system_score_gemma":0.002778312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004399639,"about_ca_topic_score_gemma":0.0005853569,"domain_scores_codex":[0.9929544,0.000947962,0.001530407,0.0004566503,0.0007918117,0.003318735],"domain_scores_gemma":[0.9953811,0.002329634,0.001393708,0.0004776495,0.0002081375,0.0002097514],"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":[0.0001693167,0.0002355594,0.006216589,0.00003090661,0.0004587682,0.00000127193,0.001862398,0.001225615,0.0003964778,0.7973924,0.002267478,0.1897432],"study_design_scores_gemma":[0.005026215,0.001870704,0.02031942,0.0006148469,0.0008104856,0.0001562149,0.01734681,0.113528,0.002184471,0.5647734,0.2713057,0.002063733],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547883,0.006551364,0.02112828,0.01165728,0.002641645,0.0009007849,0.00004988708,0.0001043298,0.002178145],"genre_scores_gemma":[0.9890989,0.007347352,0.0016958,0.0003240379,0.0004271739,0.0000129278,0.000003312443,0.0000362226,0.00105429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2690382,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298528670889749,"score_gpt":0.2910475752516595,"score_spread":0.2611947081626846,"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."}}