{"id":"W2018744745","doi":"10.2139/ssrn.574186","title":"Incentives and Risk Taking in Hedge Funds","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Incentive; Hedge fund; Business; Actuarial science; Finance; Economics; Microeconomics","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":[0.003992809,0.0003375751,0.0006876877,0.0004734021,0.0006197046,0.003418431,0.0004979424,0.002649549,0.003445266],"category_scores_gemma":[0.02024203,0.0003893371,0.0003839292,0.0003473265,0.001133281,0.002880629,0.0009756599,0.00148315,0.0002590597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036555,"about_ca_system_score_gemma":0.0008567525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259927,"about_ca_topic_score_gemma":0.001127281,"domain_scores_codex":[0.9990896,0.0004003881,0.000073912,0.0001038429,0.0001104974,0.000221642],"domain_scores_gemma":[0.9841864,0.009172028,0.004291623,0.000462931,0.0005831899,0.001303834],"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":[0.002119026,0.0007546869,0.06746624,0.0002582012,0.0002035766,0.001693488,0.001496392,0.06911258,0.004968061,0.7929448,0.003435719,0.05554721],"study_design_scores_gemma":[0.0003973684,0.0004934047,0.02653016,0.00006460677,0.00009800605,0.0003503106,0.0009203393,0.06373969,0.001518509,0.9025264,0.003285714,0.00007542529],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662784,0.001287319,0.01546634,0.002625331,0.00005855399,0.00003483319,0.00005991868,0.00003781403,0.01415145],"genre_scores_gemma":[0.9973143,0.0002034627,0.0006718456,0.00006161084,0.00003011549,0.000006449392,0.00001037555,0.000002591465,0.001699273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003992809,"threshold_uncertainty_score":0.02111626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483237171092481,"score_gpt":0.2096132375732957,"score_spread":0.1947808658623709,"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."}}