{"id":"W2417732123","doi":"","title":"Happy Losers: Subcontracting in International Asset Management","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Outsourcing; Business; Finance; Global assets under management; Equity (law); Institutional investor; Marketing","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":[0.001499236,0.0003251539,0.0004759335,0.0006837353,0.0007898735,0.001732785,0.0006413733,0.0008865576,0.003415392],"category_scores_gemma":[0.004109851,0.000158298,0.0003632577,0.0008473287,0.00158532,0.001082554,0.001658937,0.001301363,0.0002557252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009430068,"about_ca_system_score_gemma":0.0003812452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00888458,"about_ca_topic_score_gemma":0.01068152,"domain_scores_codex":[0.9992623,0.0002841287,0.00002265674,0.00009359773,0.0001009365,0.0002365207],"domain_scores_gemma":[0.9946578,0.001671366,0.002692884,0.0001477252,0.0001115822,0.000718637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007691589,0.001747898,0.9134082,0.0000814916,0.0002202469,0.002088551,0.002469196,0.01867001,0.00149986,0.01760536,0.002195003,0.03924496],"study_design_scores_gemma":[0.0001780116,0.001346668,0.8941832,0.00007453118,0.0002953505,0.000634831,0.01007122,0.06325521,0.001716935,0.02270655,0.005460774,0.00007673442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969116,0.0002072505,0.0005350774,0.0002497569,0.000005065066,0.000008252363,0.00003556055,0.0000038806,0.002043491],"genre_scores_gemma":[0.9989735,0.00009207687,0.00009981372,0.00004303227,0.00001342909,0.000005188176,0.00003855244,0.000001819178,0.0007326517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00888458,"threshold_uncertainty_score":0.01766574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223917680221783,"score_gpt":0.2141660729226494,"score_spread":0.1917743049004711,"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."}}