{"id":"W2166399727","doi":"10.2139/ssrn.1690724","title":"Is Bigger Better? Size and Performance in Pension Plan Management","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pension; Plan (archaeology); Business; Pension plan; Actuarial science; Finance; Geography","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":[0.0007675667,0.0001433995,0.0001338568,0.0001930433,0.0001488908,0.00009189771,0.0002159504,0.00005335508,0.0002451638],"category_scores_gemma":[0.00001099342,0.0001243251,0.00004521675,0.0001770417,0.00003081093,0.000876584,0.0001660938,0.0007285302,0.0001857735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153547,"about_ca_system_score_gemma":0.0000426603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005128483,"about_ca_topic_score_gemma":0.0001362355,"domain_scores_codex":[0.9982973,0.000007601472,0.0002067238,0.0001883223,0.0001749733,0.001125047],"domain_scores_gemma":[0.9997134,0.000008342709,0.0001176624,0.0001203014,0.00002649832,0.00001376658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006110358,0.0003595821,0.6584834,0.0002965535,0.0002644896,0.0001381313,0.0007164567,0.000001867054,0.0003522823,0.223202,0.001787928,0.1137863],"study_design_scores_gemma":[0.00290502,0.0001911693,0.773667,0.0002036141,0.0001185256,0.0002341378,0.001609631,0.0004235011,0.0001242423,0.1957708,0.02408127,0.0006710921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845268,0.0004594545,0.00007617407,0.0005928001,0.0001943459,0.00009923361,2.243314e-7,0.00002439081,0.01402664],"genre_scores_gemma":[0.9956279,0.00208562,0.000061901,0.001290447,0.0003879495,0.000003071566,0.00000169769,0.00001604745,0.0005254114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1151836,"threshold_uncertainty_score":0.5069832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739685353235593,"score_gpt":0.1994060385050653,"score_spread":0.1820091849727094,"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."}}