{"id":"W2952025453","doi":"10.5430/ijfr.v10n5p145","title":"Mapping in Intellectual Capital Measurement in Creative Industries in East Java","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual capital; Relational capital; Structural capital; Human capital; Creativity; Creative industries; Business; Intellectual property; Capital (architecture); Competition (biology); Sample (material); Industrial organization; Financial capital; Marketing; Individual capital; Economics; Economic growth; Finance; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003361488,0.0001245781,0.0002806419,0.003795179,0.00003512911,0.0001829058,0.0006045455,0.0000981316,0.001080827],"category_scores_gemma":[0.005519608,0.0001116337,0.00008508147,0.00173457,0.0000757973,0.001174686,0.0002115706,0.001022022,0.0003926121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006431932,"about_ca_system_score_gemma":0.0003940572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002411813,"about_ca_topic_score_gemma":0.003285519,"domain_scores_codex":[0.9970782,0.00005271989,0.0006803793,0.0001769016,0.001647316,0.0003644989],"domain_scores_gemma":[0.9977246,0.0001912456,0.000181519,0.00007843489,0.001808488,0.00001570875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002401925,0.0009084051,0.8151305,0.0001049869,0.0001012797,0.0007391691,0.0229821,0.002010732,0.002364872,0.006390699,0.005349718,0.1415156],"study_design_scores_gemma":[0.003818496,0.0002455308,0.9363241,0.001989445,0.000006574092,0.00002422277,0.01681568,0.005252076,0.0009211276,0.005728985,0.02840836,0.0004654734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869329,0.0001927504,0.00002668984,0.0009152984,0.000429579,0.0001438832,0.000001268237,0.000002711085,0.01135487],"genre_scores_gemma":[0.9986867,0.00007418541,0.0000113945,0.0001648021,0.0007408415,0.000006707874,0.000003474353,0.000009573572,0.0003022859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1410501,"threshold_uncertainty_score":0.9998323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09268838197353077,"score_gpt":0.3134088819641346,"score_spread":0.2207204999906039,"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."}}