{"id":"W3022761362","doi":"10.4236/tel.2020.102026","title":"Determinants and Consequences of Intellectual Capital Efficiency in the U.S. Banking Industry","year":2020,"lang":"en","type":"article","venue":"Theoretical Economics Letters","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Banking industry; Intellectual capital; Business; Capital (architecture); Economics; Monetary economics; Financial system; Finance","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":[0.0002966366,0.0001099288,0.0001901262,0.00009487954,0.00005899191,0.00009841671,0.0002636779,0.00006385133,0.0006191026],"category_scores_gemma":[0.000219927,0.00007870942,0.0000512052,0.0001973659,0.0008842026,0.0002440541,0.00009455006,0.0002509163,0.00006100446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008570679,"about_ca_system_score_gemma":0.00001014875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005475645,"about_ca_topic_score_gemma":0.0000157736,"domain_scores_codex":[0.9993076,0.00001460182,0.0002619174,0.000170761,0.0000611285,0.0001840008],"domain_scores_gemma":[0.9995941,0.0002159796,0.00008035094,0.00008362914,0.00001498323,0.00001095211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002365195,0.00006260869,0.04356631,0.0001759805,0.00003783083,0.00002458996,0.01120211,0.0005757223,0.00262454,0.9369985,0.0004116577,0.00408361],"study_design_scores_gemma":[0.00423376,0.000722564,0.02804959,0.0004122001,0.0006805838,0.0001153403,0.04867776,0.5419322,0.01729915,0.3498333,0.004475727,0.003567871],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902881,0.00002724921,0.00004305578,0.006114074,0.00003889501,0.00007676458,0.000001519739,0.000008762132,0.003401561],"genre_scores_gemma":[0.9838739,0.00001797799,0.000009861509,0.01590567,0.0001796985,0.000003153086,0.000002031554,0.000006816952,9.156998e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5871652,"threshold_uncertainty_score":0.677874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143778286291309,"score_gpt":0.2057315875204833,"score_spread":0.1913537588913524,"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."}}