{"id":"W2127532696","doi":"10.1002/mcda.1494","title":"Mutual Funds Efficiency Measurement under Financial and Social Responsibility Criteria","year":2013,"lang":"en","type":"article","venue":"Journal of Multi-Criteria Decision Analysis","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Montréal","funders":"Ministerio de Ciencia e Innovación","keywords":"Data envelopment analysis; Stochastic dominance; Social responsibility; Dominance (genetics); Order (exchange); Investment (military); Finance; Set (abstract data type); Socially responsible investing; Work (physics); Economics; Business; Actuarial science; Econometrics; Computer science; Political science; Public relations; Corporate governance; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002337116,0.0002712792,0.0007224308,0.0008323888,0.0003063629,0.0006387333,0.0003821684,0.0001320305,0.0009492681],"category_scores_gemma":[0.0008767903,0.0002190486,0.0004694984,0.001438395,0.0001044817,0.001566688,0.00017172,0.0002387099,0.000113574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001212861,"about_ca_system_score_gemma":0.00009312289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002326869,"about_ca_topic_score_gemma":0.0002911264,"domain_scores_codex":[0.9970469,0.00006830385,0.00110325,0.0003787339,0.001070701,0.0003321313],"domain_scores_gemma":[0.9968123,0.00009595318,0.00109227,0.0002867941,0.001671457,0.00004119385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008231199,0.006041884,0.3808239,0.000551186,0.002825059,0.000447908,0.002033842,0.001603668,0.1003847,0.002598885,0.2091546,0.2853032],"study_design_scores_gemma":[0.002108063,0.00004850911,0.9674231,0.00005984931,0.0007199254,0.000007210968,0.0001964668,0.01745484,0.00004292118,0.001678317,0.009944173,0.0003166414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502935,0.000238647,0.04738912,0.001302919,0.0005228774,0.0001406157,0.000008771366,0.00001737122,0.00008617741],"genre_scores_gemma":[0.9959608,0.0000281698,0.001819363,0.00128596,0.0007748416,0.000004513123,0.000003355117,0.00001712781,0.0001059047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5865992,"threshold_uncertainty_score":0.999964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05852120102707741,"score_gpt":0.2982685703016791,"score_spread":0.2397473692746017,"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."}}