{"id":"W1974040034","doi":"10.3905/jwm.2014.17.2.009","title":"Diversification versus Concentration Motivesin Mutual Fund Mergers","year":2014,"lang":"en","type":"article","venue":"The journal of wealth management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Diversification (marketing strategy); Business; Credence; Mutual fund; Monetary economics; Expense ratio; Closed-end fund; Finance; Economics; Marketing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009092531,0.000164911,0.0002054891,0.001214396,0.0004254612,0.001156597,0.0001554314,0.0004162452,0.002029413],"category_scores_gemma":[0.005899614,0.00007870785,0.0001244555,0.0007552732,0.0007754416,0.001064598,0.001038779,0.000266158,0.0001804699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440998,"about_ca_system_score_gemma":0.0003075583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093966,"about_ca_topic_score_gemma":0.001842782,"domain_scores_codex":[0.9994986,0.0001635669,0.00003289894,0.00005107101,0.0001502504,0.0001035596],"domain_scores_gemma":[0.9924091,0.001707056,0.00476816,0.0001852726,0.0003075373,0.0006228216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003186027,0.0001699326,0.9591906,0.00002939281,0.00004134872,0.0002723743,0.001405188,0.0004687381,0.003511196,0.003779228,0.0002194133,0.03059397],"study_design_scores_gemma":[0.00001140714,0.0001524546,0.9936025,0.00001350981,0.00001718671,0.0003576305,0.00107842,0.001290803,0.0009729051,0.001809358,0.0006839764,0.000009794034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983696,0.000128483,0.0001140642,0.00007915532,8.627306e-7,0.000003730785,0.000008034784,0.000001534153,0.001294498],"genre_scores_gemma":[0.9996208,0.00004597796,0.0000582144,0.000008352249,0.000006862568,0.000001571723,0.0000153764,3.905848e-7,0.0002423401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002029413,"threshold_uncertainty_score":0.006789088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04869091666151326,"score_gpt":0.2417273621986089,"score_spread":0.1930364455370956,"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."}}