{"id":"W2011540428","doi":"10.1007/s10693-015-0215-0","title":"Typical and Tail Performance of Canadian Equity SRI Mutual Funds","year":2015,"lang":"en","type":"article","venue":"Journal of Financial Services Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Concordia University; Brock University","funders":"","keywords":"Equity (law); Benchmarking; Luck; Selection bias; Business; Selection (genetic algorithm); Econometrics; Economics; Actuarial science; Accounting; Statistics; Mathematics; Computer science; Marketing; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003004401,0.0001121327,0.0004197919,0.001134943,0.0001429386,0.00009527001,0.0004502816,0.0001538893,0.00009881785],"category_scores_gemma":[0.000217241,0.0001085773,0.00006767124,0.0008233968,0.0001990026,0.0005712655,0.0001585516,0.0004485498,0.00005304482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001763456,"about_ca_system_score_gemma":0.0006970275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01692299,"about_ca_topic_score_gemma":0.01394359,"domain_scores_codex":[0.9983739,0.00004183245,0.0007208569,0.0001719906,0.0002167436,0.0004746727],"domain_scores_gemma":[0.9985419,0.00005257703,0.0003467682,0.0001650242,0.0004684118,0.0004253055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002175658,0.0002991287,0.4935792,0.0006784048,0.00006684844,0.00008744896,0.007675385,0.00005001933,0.0001237529,0.4669417,0.009838947,0.01848355],"study_design_scores_gemma":[0.001104976,0.002082703,0.7184597,0.0001427145,0.000006016442,0.00003052664,0.0007132014,0.0006745508,0.0001992196,0.0445834,0.2317689,0.0002341253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502469,0.003004068,0.000004236291,0.000426414,0.0003245396,0.00009094779,0.0000399924,0.000002595962,0.0458603],"genre_scores_gemma":[0.9975178,0.001432552,0.0003004498,0.0001375946,0.0003435207,0.000002479654,0.00000212795,0.000009265741,0.0002542552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4223582,"threshold_uncertainty_score":0.9896234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1518762381999288,"score_gpt":0.3232134528399926,"score_spread":0.1713372146400638,"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."}}