{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01653766,0.0004858896,0.000667727,0.003464934,0.0003261866,0.001925834,0.0003130769,0.0005842538,0.0008571832],"category_scores_gemma":[0.05633162,0.00008367929,0.0005026449,0.002405779,0.001448392,0.001884445,0.002073458,0.0003430739,0.0001049816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494566,"about_ca_system_score_gemma":0.0008721648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411533,"about_ca_topic_score_gemma":0.0008516995,"domain_scores_codex":[0.9867651,0.00759275,0.0009058899,0.0006409794,0.003417465,0.0006777491],"domain_scores_gemma":[0.9530607,0.03019913,0.009424701,0.002976875,0.003485858,0.000852638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001397881,0.0003310715,0.4533465,0.0002956985,0.0007178618,0.0002719054,0.001573368,0.3226373,0.003999898,0.09521918,0.001183761,0.1190257],"study_design_scores_gemma":[0.0001126276,0.001201509,0.3706996,0.0001721266,0.0001842211,0.0004182032,0.00216127,0.5090194,0.01251982,0.09950691,0.003873384,0.0001310295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859948,0.0001399513,0.01109342,0.00006723508,0.000003447329,0.0000254269,0.00009530249,0.00001245443,0.002567998],"genre_scores_gemma":[0.998778,0.00001587892,0.001076917,0.00000258179,0.000002936761,0.00000700048,0.00005313917,0.000001144993,0.00006236557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01653766,"threshold_uncertainty_score":0.08746052,"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."}}