{"id":"W2743170277","doi":"10.1504/ijlic.2018.088345","title":"Intellectual capital and organisational 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":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Structural capital; Intellectual capital; Cronbach's alpha; Business; Scope (computer science); Structural equation modeling; Confirmatory factor analysis; Relational capital; Economic capital; Sample (material); Human capital; Capital (architecture); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000369622,0.0001873989,0.0002734299,0.0004631051,0.0003652087,0.0005377573,0.000348861,0.0000681311,0.0002177082],"category_scores_gemma":[0.003838283,0.0001624483,0.00006854945,0.00006924586,0.0003032274,0.001164222,0.0003467784,0.0004886692,0.00007451379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005867334,"about_ca_system_score_gemma":0.00005257849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006318384,"about_ca_topic_score_gemma":0.00004238357,"domain_scores_codex":[0.9988909,0.00001477373,0.0003983515,0.0001964662,0.0002925196,0.0002069615],"domain_scores_gemma":[0.998296,0.0002524735,0.0004319073,0.00006958417,0.0009398535,0.00001013839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001279248,0.0003312039,0.7161868,0.000182548,0.0007121715,0.000330501,0.07631546,0.0002262622,0.001181741,0.01939808,0.007673029,0.1761829],"study_design_scores_gemma":[0.005673798,0.001030303,0.8570645,0.001859399,0.0001629242,0.001472108,0.04090761,0.01846276,0.0007995322,0.006711569,0.06445781,0.001397675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936818,0.0007444233,0.00008303027,0.001074358,0.0009611105,0.00004974525,9.839518e-7,0.00001345618,0.003391131],"genre_scores_gemma":[0.9970377,0.0008153248,0.00006159636,0.000152076,0.001271057,0.000001706596,0.000004431912,0.00001816708,0.0006379502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1747853,"threshold_uncertainty_score":0.6624451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302870774271399,"score_gpt":0.2474852099775986,"score_spread":0.2344565022348846,"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."}}