{"id":"W2146699592","doi":"10.1142/s0219868104000154","title":"THE GLOBAL MACRO HEDGE FUND CEMETERY","year":2004,"lang":"en","type":"article","venue":"Journal of Derivatives Accounting","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Hedge fund; Leverage (statistics); Macro; Hedge; Economics; Finance; Mathematics; Computer science; Statistics","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":[0.0007258846,0.0001241899,0.000278115,0.00006833946,0.000302469,0.0003266442,0.0003163913,0.00004927093,0.00003298956],"category_scores_gemma":[0.0003316489,0.00009494281,0.0001515589,0.0002553619,0.000117692,0.0007956698,0.00005938484,0.0001685596,0.0000341404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609915,"about_ca_system_score_gemma":0.00006120535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003601654,"about_ca_topic_score_gemma":0.000008743091,"domain_scores_codex":[0.9987516,0.00001087819,0.0007819654,0.0001258309,0.00006420589,0.0002654787],"domain_scores_gemma":[0.9985726,0.00007264281,0.001094503,0.0001309769,0.00008625174,0.00004300429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004636342,0.00005931687,0.06823932,0.00001954126,0.0001012113,0.00001435184,0.0003263971,0.0001153825,0.00007691939,0.9283051,0.0007338002,0.001962252],"study_design_scores_gemma":[0.0008763804,0.0001833203,0.302416,0.00007899018,0.000007966638,0.00005191758,0.0006916727,0.00003452152,0.000166542,0.5711524,0.1241122,0.0002281476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380114,0.0057154,0.00306896,0.003042515,0.001131494,0.00008457404,0.00001612455,0.00001106109,0.04891848],"genre_scores_gemma":[0.9969633,0.0004945899,0.001555608,0.0005123148,0.0003938602,0.000001593917,4.699218e-7,0.00001050332,0.00006782443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3571528,"threshold_uncertainty_score":0.3871655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0589654065420691,"score_gpt":0.2473095009273635,"score_spread":0.1883440943852944,"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."}}