{"id":"W1608701724","doi":"10.1002/kpm.1404","title":"Intellectual Capital and Financial Performance in Serbia","year":2013,"lang":"en","type":"article","venue":"Knowledge and Process Management","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Intellectual capital; Return on equity; Serbian; Structural capital; Return on capital employed; Return on assets; Revenue; Business; Profit (economics); Net profit; Earnings before interest and taxes; Capital adequacy ratio; Economics; Originality; Human capital; Return on capital; Finance; Accounting; Financial capital; Microeconomics; Profitability index; Capital formation; Economic growth; Individual capital","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001100458,0.0004649883,0.0002792181,0.002028602,0.0004499011,0.002159603,0.0002149381,0.0002522697,0.002970809],"category_scores_gemma":[0.003854137,0.00008089363,0.0001894078,0.0017818,0.0009898008,0.0006652938,0.0008471527,0.0003272229,0.0003223295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008796276,"about_ca_system_score_gemma":0.0007287081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006622585,"about_ca_topic_score_gemma":0.005336754,"domain_scores_codex":[0.9994462,0.0001931462,0.00004910434,0.0000524857,0.0001357364,0.0001233258],"domain_scores_gemma":[0.9961421,0.0006903309,0.002340844,0.00009644227,0.0003479862,0.000382426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001891959,0.0002127913,0.9416856,0.0002219836,0.0001350599,0.0005563765,0.001284682,0.002117988,0.00041412,0.001905635,0.0009517232,0.05032476],"study_design_scores_gemma":[0.00000434639,0.00008313755,0.9959948,0.0001302183,0.00001908682,0.0001630703,0.0009924878,0.0005706693,0.0001539993,0.000318801,0.001560727,0.000008733742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990952,0.002489886,0.00008963182,0.0001619689,0.00001235245,0.000007213939,0.000145068,0.000006278886,0.006135464],"genre_scores_gemma":[0.999017,0.0005182122,0.00005369264,0.0000154228,0.00001076995,0.00000255584,0.0000787977,9.37542e-7,0.0003026455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006622585,"threshold_uncertainty_score":0.0131681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008435131037841163,"score_gpt":0.2046733059927369,"score_spread":0.1962381749548958,"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."}}