{"id":"W2753579435","doi":"10.2139/ssrn.3018549","title":"Hedge Funds and Corporate Misreporting","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Hedge fund; Business; Alternative beta; Global assets under management; Accounting; Hedge; Finance; Corporate governance; Institutional investor","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":[0.006663396,0.0001792813,0.0005250283,0.001190861,0.0003993427,0.003848932,0.0004617841,0.002121192,0.003976281],"category_scores_gemma":[0.07004281,0.0002387069,0.0002736551,0.001279792,0.001061591,0.002314081,0.000843856,0.001374082,0.0003084545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006695285,"about_ca_system_score_gemma":0.0005484032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312458,"about_ca_topic_score_gemma":0.0009441372,"domain_scores_codex":[0.9978634,0.001021772,0.0002369329,0.0002780311,0.0003154787,0.0002844638],"domain_scores_gemma":[0.8899775,0.06679527,0.03455542,0.004593175,0.002862434,0.001216286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001639533,0.0004964715,0.6440893,0.0002168016,0.0004330967,0.001653432,0.002735747,0.009796245,0.0007486544,0.1917544,0.01180987,0.1346264],"study_design_scores_gemma":[0.0002539096,0.0004659426,0.3458182,0.0003573467,0.0006896688,0.00293561,0.005270005,0.04865396,0.002180115,0.5775909,0.01565299,0.0001313698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697751,0.004938737,0.004680462,0.009076276,0.0001627604,0.00001710325,0.0002394562,0.00003942112,0.01107054],"genre_scores_gemma":[0.9978079,0.0005165327,0.0002185777,0.0001463735,0.0001480552,0.000002700849,0.00003866126,0.00000345324,0.001117618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006663396,"threshold_uncertainty_score":0.03523982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04788553915909138,"score_gpt":0.2330229279679045,"score_spread":0.1851373888088131,"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."}}