{"id":"W1545168666","doi":"10.2139/ssrn.840505","title":"Competing Risks for Hedge Fund Survival","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Hedge fund; Business; Actuarial science; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01545461,0.001500414,0.003217154,0.002261979,0.001118585,0.0040617,0.002931429,0.004904437,0.01008185],"category_scores_gemma":[0.05673722,0.001264729,0.002146633,0.001546402,0.004451973,0.006514931,0.003289344,0.005322132,0.0009749774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001998111,"about_ca_system_score_gemma":0.001305183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004053968,"about_ca_topic_score_gemma":0.001988684,"domain_scores_codex":[0.9973754,0.001357864,0.0001471088,0.0004086427,0.0003386685,0.0003723936],"domain_scores_gemma":[0.9450138,0.04524888,0.003558795,0.002010337,0.001760982,0.002407188],"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":[0.0001680175,0.00003631558,0.002882606,0.0001198616,0.0001196528,0.0002859947,0.000285429,0.08396591,0.000319397,0.8974335,0.003441111,0.01094233],"study_design_scores_gemma":[0.00004814238,0.00005692925,0.0009889863,0.00003306976,0.00006125175,0.0002024538,0.00007456943,0.2839523,0.0001062728,0.7132906,0.001141523,0.00004388684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2397235,0.009041487,0.7223175,0.009844336,0.0006303767,0.0001141133,0.0006699161,0.0005099827,0.01714866],"genre_scores_gemma":[0.9557366,0.002745152,0.01657431,0.0003859648,0.0006876352,0.0001340812,0.0004070401,0.0001051309,0.02322414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01545461,"threshold_uncertainty_score":0.08173275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06891643725298231,"score_gpt":0.2700493629989478,"score_spread":0.2011329257459655,"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."}}