{"id":"W6989928195","doi":"","title":"Choix de portefeuille de grande taille et mesures de risque pour preneurs de dÃ©cision pessimistes","year":2013,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stabiliser; Statistical analysis; Econometric analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007633258,0.0007891686,0.001302242,0.001212383,0.001169209,0.003088413,0.001148159,0.001692752,0.01567617],"category_scores_gemma":[0.02009168,0.0006694981,0.001785049,0.001135131,0.001429649,0.001465104,0.001764697,0.003590653,0.002110311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003229941,"about_ca_system_score_gemma":0.006595559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008759284,"about_ca_topic_score_gemma":0.01294487,"domain_scores_codex":[0.9949654,0.0024309,0.0002760291,0.0006259134,0.001282917,0.0004188932],"domain_scores_gemma":[0.9858656,0.01002119,0.001283482,0.0005252032,0.001589937,0.0007145319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001759705,0.001039831,0.1339528,0.004220005,0.0005359512,0.0005219083,0.006085245,0.03370842,0.004178409,0.1802403,0.02975847,0.603999],"study_design_scores_gemma":[0.0008402966,0.006828471,0.3698928,0.008667804,0.001010906,0.001529527,0.01119086,0.1025572,0.01243974,0.2057559,0.2785529,0.0007336631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4522414,0.1402439,0.2078821,0.06603803,0.00467152,0.001320615,0.002540646,0.0004574786,0.1246044],"genre_scores_gemma":[0.8306673,0.05383555,0.06872533,0.003021753,0.001363772,0.0008495727,0.0007682829,0.0001091288,0.04065925],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01567617,"threshold_uncertainty_score":0.05244201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003880137276360723,"score_gpt":0.17680686431663,"score_spread":0.1729267270402693,"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."}}