{"id":"W2335848286","doi":"","title":"Stock Selection by Means of DEA and Stochastic Dominance","year":2010,"lang":"en","type":"article","venue":"","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stochastic dominance; Econometrics; Data envelopment analysis; Stock (firearms); Dominance (genetics); Economics; Statistical hypothesis testing; Financial economics; Statistics; Mathematics; Engineering","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":[0.00153639,0.00007802589,0.000196256,0.0001740206,0.0001032001,0.00006825111,0.0002771775,0.00005945408,0.0003633031],"category_scores_gemma":[0.00196922,0.00005443261,0.00004773213,0.0008475147,0.0001690526,0.000156672,0.00004464081,0.0001270878,0.00004284566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006295194,"about_ca_system_score_gemma":0.00003423354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001243027,"about_ca_topic_score_gemma":0.0007037768,"domain_scores_codex":[0.9984314,0.00005298152,0.0003692115,0.0003234605,0.0006855437,0.0001373546],"domain_scores_gemma":[0.9985133,0.0007042201,0.0001734125,0.0002866058,0.0002666599,0.00005577582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007535312,0.0003577993,0.03135103,0.000007854807,0.00004283453,0.000001120851,0.00104694,0.005642413,0.7863521,0.01528246,0.03986264,0.1199775],"study_design_scores_gemma":[0.001207366,0.0004060735,0.04163862,0.00002316032,0.0001271299,0.00005306989,0.0005676175,0.841469,0.07265574,0.02866436,0.01250816,0.0006796831],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7355037,0.00003506003,0.2622245,0.000216183,0.0001125344,0.00005724313,0.000002907944,0.00001591468,0.001831957],"genre_scores_gemma":[0.9935439,9.21553e-7,0.003322619,0.0000504868,0.00001737193,0.00000204204,3.910072e-7,0.000004096225,0.003058186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8358266,"threshold_uncertainty_score":0.3977914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290563344209765,"score_gpt":0.340537363696546,"score_spread":0.3114810292755695,"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."}}