{"id":"W2887935625","doi":"10.1111/1911-3846.12405","title":"Business Ties and Information Advantage: Evidence from Mutual Fund Trading","year":2018,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mutual fund; Business; Portfolio; Pension; Earnings; Closed-end fund; Fund of funds; Predictability; Stock (firearms); Finance; Open-end fund; Predictive power; Institutional investor; Monetary economics; Economics; Corporate governance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001980644,0.0001724498,0.0003336097,0.001466315,0.0007056177,0.002544382,0.0003902332,0.0008755879,0.009478297],"category_scores_gemma":[0.03276914,0.0001773806,0.0002230422,0.001641354,0.001029108,0.002277494,0.001612884,0.0008171775,0.0006602058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004174039,"about_ca_system_score_gemma":0.0002854853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002512907,"about_ca_topic_score_gemma":0.00208595,"domain_scores_codex":[0.9989349,0.0004430352,0.0000809347,0.0001183753,0.0002663686,0.0001562423],"domain_scores_gemma":[0.943953,0.03049161,0.02081478,0.001814721,0.001060004,0.001865993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001246489,0.0005032971,0.9453515,0.0001679279,0.0003481475,0.0008176498,0.00241313,0.0007187113,0.0006639498,0.009452648,0.001263655,0.03705287],"study_design_scores_gemma":[0.0001156125,0.0002813129,0.9754048,0.0001168104,0.000324218,0.0007566027,0.003506506,0.002356876,0.0006583476,0.01142733,0.005010678,0.00004102302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889952,0.001020666,0.0002929806,0.0005969007,0.000009652214,0.000009561532,0.0001813599,0.000007503816,0.00888613],"genre_scores_gemma":[0.9992071,0.0003000371,0.00005156875,0.00003149023,0.00002510754,0.000002457023,0.00008280699,0.000002075172,0.0002974212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009478297,"threshold_uncertainty_score":0.03170806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1630222996991501,"score_gpt":0.3220720819023861,"score_spread":0.1590497822032359,"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."}}