{"id":"W2255564561","doi":"","title":"Evaluating Mutual Funds Styles and Performance","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mutual fund; Capital asset pricing model; Actuarial science; BETA (programming language); Investment (military); Econometrics; Economics; Financial economics; Business; Finance; Computer science; Political science; Politics","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":[0.005626881,0.000316013,0.000238413,0.002523291,0.0003367206,0.002680937,0.0002792251,0.0004456229,0.003682168],"category_scores_gemma":[0.03943262,0.00007960057,0.0002332357,0.001562374,0.0004774759,0.001333431,0.001093433,0.0003192511,0.0009567632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009582,"about_ca_system_score_gemma":0.0003715037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008584366,"about_ca_topic_score_gemma":0.001460084,"domain_scores_codex":[0.9968622,0.0009327942,0.000329999,0.000163513,0.001451828,0.0002596964],"domain_scores_gemma":[0.9763175,0.007329266,0.007416163,0.00140998,0.004406066,0.003121039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006484597,0.0001920228,0.8616308,0.00003505871,0.0001109022,0.0001113694,0.001598342,0.001881857,0.0006776094,0.002531506,0.002137413,0.1284447],"study_design_scores_gemma":[0.00003477106,0.0005984417,0.9822928,0.0000365785,0.00003602181,0.0002647894,0.002095196,0.003973805,0.001195149,0.003919438,0.005513798,0.00003907603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828092,0.0001264146,0.000433852,0.0001591421,0.00001437076,0.00001958646,0.0001216176,0.00002434805,0.01629139],"genre_scores_gemma":[0.9965788,0.0000750865,0.0005642087,0.00002115086,0.00002489926,0.00001058257,0.0001348903,0.00001012693,0.002580223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005626881,"threshold_uncertainty_score":0.02975816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992151639332689,"score_gpt":0.2645905149077766,"score_spread":0.2446689985144497,"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."}}