{"id":"W2044099286","doi":"10.1108/14691930710830828","title":"How does human capital affect the performance of small and mid‐cap mutual funds?","year":2007,"lang":"en","type":"article","venue":"Journal of Intellectual Capital","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Business; Affect (linguistics); Human capital; Equity (law); Closed-end fund; Fund of funds; Originality; Finance; Open-end fund; Index fund; Mutual fund; Actuarial science; Accounting; Economics; Institutional investor; Corporate governance; 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":[0.001192665,0.0001964784,0.0004663855,0.0002941485,0.0001634086,0.0001432768,0.0003065502,0.0001035891,0.0001892312],"category_scores_gemma":[0.0004240305,0.0001281979,0.0001981595,0.0001602472,0.0003564516,0.0004170024,0.00006937811,0.0003450534,0.0000128738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006043304,"about_ca_system_score_gemma":0.00003288005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004555465,"about_ca_topic_score_gemma":0.00008091921,"domain_scores_codex":[0.9986333,0.0000208489,0.0007677492,0.0001768898,0.00008995732,0.0003112971],"domain_scores_gemma":[0.9985951,0.0003017062,0.0007381967,0.0001619649,0.0001100158,0.00009307182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002913369,0.001586603,0.2467345,0.001085141,0.001715733,0.0001990845,0.1180415,0.00008829339,0.0350716,0.5761091,0.007700851,0.008754282],"study_design_scores_gemma":[0.005003844,0.01863104,0.7979113,0.0003900496,0.0001550155,0.0008623502,0.03356031,0.0003996927,0.05586846,0.05402242,0.03125395,0.00194151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910488,0.003830301,0.0002159882,0.0002766367,0.0005625205,0.000120045,0.00001991925,0.000006321557,0.003919519],"genre_scores_gemma":[0.9978802,0.0005958406,0.0001611238,0.00007184537,0.0003759364,0.000001304253,0.000001908877,0.00001853316,0.0008932592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5511769,"threshold_uncertainty_score":0.522776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625312607301273,"score_gpt":0.2120289607385956,"score_spread":0.1857758346655829,"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."}}