{"id":"W39539462","doi":"10.1021/acsestair.4c00213","title":"Оценка стоимости человеческого интеллектуального капитала в организации","year":2010,"lang":"en","type":"article","venue":"Теория и практика общественного развития","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Population and Public Health","keywords":"Intellect; Intellectual capital; Human capital; Value (mathematics); Estimation; Sociology; Political science; Economics; Mathematics; Management; Law; Epistemology; Philosophy; Statistics; Economic growth","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008888321,0.0008606779,0.0008360717,0.001041113,0.0008764184,0.001028735,0.001371389,0.0004731189,0.02031],"category_scores_gemma":[0.0004789252,0.0007647189,0.0006718112,0.001944697,0.0003863791,0.002942983,0.0005822608,0.00135086,0.02053635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005602301,"about_ca_system_score_gemma":0.0001118516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144129,"about_ca_topic_score_gemma":0.001485918,"domain_scores_codex":[0.9954296,0.00002509065,0.001016269,0.001079639,0.001016892,0.001432504],"domain_scores_gemma":[0.9973438,0.0001457536,0.0005125628,0.00126662,0.0006061452,0.0001251427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009417414,0.001865975,0.1046818,0.001247393,0.001049281,0.0003717259,0.001637926,0.0002773314,0.0533875,0.202973,0.5053085,0.1262578],"study_design_scores_gemma":[0.00144213,0.00008860925,0.01350596,0.00007346905,0.0004128617,0.00005950486,0.0005306031,0.01269615,0.002993743,0.01033183,0.9559593,0.001905896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.740276,0.000244584,0.0003325828,0.001785439,0.003337757,0.0004588792,0.00002019769,0.0008115477,0.252733],"genre_scores_gemma":[0.9768876,0.00006323519,0.0004219998,0.006368772,0.0064382,0.00008655037,0.0002409263,0.000156779,0.009335965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4506508,"threshold_uncertainty_score":0.9994804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009968131426172838,"score_gpt":0.201145239654464,"score_spread":0.1911771082282912,"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."}}