{"id":"W6999477035","doi":"","title":"Correction d'estimateurs de la fonction de Pickands et estimateur bayésien","year":2023,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Montréal","keywords":"Statistical analysis; Function (biology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.006605038,0.002216802,0.001921715,0.001835243,0.001046072,0.002713748,0.001985428,0.002051549,0.008311477],"category_scores_gemma":[0.04337692,0.001175156,0.001684682,0.001467366,0.001597137,0.002033642,0.002368572,0.003656807,0.003392737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533846,"about_ca_system_score_gemma":0.003563823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01463785,"about_ca_topic_score_gemma":0.01598576,"domain_scores_codex":[0.9916058,0.002720354,0.0004187194,0.001601576,0.003198301,0.0004553282],"domain_scores_gemma":[0.9837512,0.01008587,0.0007467959,0.002424537,0.002775786,0.0002157531],"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":[0.0008882458,0.00009783292,0.01021082,0.0005468805,0.0003357829,0.0003902758,0.0005475678,0.1822069,0.03182673,0.07160825,0.0060806,0.6952601],"study_design_scores_gemma":[0.00009032957,0.0002028369,0.009422289,0.0003024804,0.0001569081,0.0006525098,0.0001664106,0.8768807,0.0420102,0.04296078,0.02695857,0.0001960733],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007556335,0.0003675667,0.9896275,0.0002266442,0.0001862034,0.00004931796,0.0001067134,0.0006014751,0.001278254],"genre_scores_gemma":[0.1313172,0.0006427616,0.8503844,0.0002844501,0.0002470087,0.0004067699,0.0005329247,0.0007719346,0.01541263],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01463785,"threshold_uncertainty_score":0.03493124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876424375606432,"score_gpt":0.2887350520776231,"score_spread":0.2699708083215588,"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."}}