{"id":"W4242050953","doi":"10.1504/ijlic.2017.10006902","title":"Intellectual capital and organizational performance in Malaysian knowledge-intensive SMEs","year":2017,"lang":"en","type":"article","venue":"International Journal of Learning and Intellectual Capital","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Structural capital; Intellectual capital; Cronbach's alpha; Business; Structural equation modeling; Scope (computer science); Confirmatory factor analysis; Organizational capital; Relational capital; Economic capital; Human capital; Capital (architecture); Sample (material); Reliability (semiconductor); Knowledge management; Individual capital; Marketing; Economics; Computer science; Finance; Economic growth","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":[0.001594351,0.0002139077,0.0001706709,0.001269193,0.0004451562,0.001417781,0.0002598458,0.0002806403,0.001034456],"category_scores_gemma":[0.006547095,0.00007443674,0.0001689157,0.0009352151,0.0007057199,0.001013016,0.001269307,0.0003105972,0.0001216308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009884678,"about_ca_system_score_gemma":0.001048017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00323344,"about_ca_topic_score_gemma":0.004889893,"domain_scores_codex":[0.9991571,0.0002540656,0.00008400932,0.0000588766,0.0002244202,0.0002216308],"domain_scores_gemma":[0.991903,0.002234187,0.00377601,0.0002569093,0.0006248265,0.001205064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009203434,0.0004273732,0.9722435,0.000063297,0.00005510516,0.0003409608,0.00288374,0.001112851,0.0003600556,0.0009013825,0.0001390145,0.02138073],"study_design_scores_gemma":[0.000004487309,0.0001844164,0.9941475,0.00005075124,0.00001247582,0.0001109794,0.00343194,0.00108203,0.000198354,0.0004414236,0.0003271693,0.000008318409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982368,0.00007246061,0.0000410233,0.00005653251,0.000001202131,0.000003648902,0.00001150531,8.704465e-7,0.00157598],"genre_scores_gemma":[0.9998417,0.00002672701,0.00002110556,0.000004179118,9.819541e-7,0.000001284393,0.000006771394,1.217893e-7,0.00009717458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00323344,"threshold_uncertainty_score":0.008431852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010611617805958,"score_gpt":0.2395962073308147,"score_spread":0.2289845895248567,"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."}}