{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001324417,0.0003862307,0.000406627,0.00184157,0.002034053,0.003208209,0.0006082275,0.0008053714,0.01586055],"category_scores_gemma":[0.003144622,0.0006022098,0.0004855766,0.002381663,0.002379087,0.0009272975,0.0009049584,0.001618517,0.007062103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002246217,"about_ca_system_score_gemma":0.00483292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03185616,"about_ca_topic_score_gemma":0.06527165,"domain_scores_codex":[0.9981907,0.0002241957,0.00009407263,0.0002281097,0.00106595,0.0001969767],"domain_scores_gemma":[0.9984084,0.0003668306,0.0003393188,0.0002199115,0.000540564,0.0001250332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001835497,0.00009261518,0.009217338,0.0007768049,0.00007734747,0.002180585,0.002904315,0.002159137,0.04651742,0.2184317,0.02087855,0.6965806],"study_design_scores_gemma":[0.00003229513,0.0001261081,0.01582669,0.000292653,0.00007015331,0.002550357,0.001606946,0.001184152,0.02162676,0.04151459,0.9150032,0.0001661391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1632333,0.08780513,0.178791,0.01386627,0.003907208,0.0005163581,0.002824782,0.001461983,0.547594],"genre_scores_gemma":[0.6750742,0.04690678,0.1557527,0.001030708,0.0007868047,0.0005126652,0.0008360251,0.0005387298,0.1185614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03185616,"threshold_uncertainty_score":0.06334144,"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."}}