{"id":"W2895615251","doi":"10.57805/revstat.v20i3.372","title":"Bias Reduced Peaks over Threshold Tail Estimation","year":2022,"lang":"en","type":"preprint","venue":"Lirias (KU Leuven)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Agence Nationale de la Recherche; Department of Science and Technology, Ministry of Science and Technology, India; National Research Foundation","keywords":"Estimation; Statistics; Econometrics; Mathematics; Economics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001349282,0.0005152557,0.0008301267,0.0001835989,0.0002076444,0.0001893817,0.0007058671,0.0004357513,0.008527784],"category_scores_gemma":[0.005801733,0.0004942742,0.0002911173,0.0002318056,0.0001071898,0.00008981227,0.001346218,0.001640463,0.0001233564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002839314,"about_ca_system_score_gemma":0.0002849767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001331687,"about_ca_topic_score_gemma":0.00001029185,"domain_scores_codex":[0.9965232,0.0004393788,0.0008971418,0.0008374673,0.0008224469,0.0004803449],"domain_scores_gemma":[0.9957728,0.001954637,0.0005973484,0.001368795,0.0001245397,0.000181842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001176737,0.0004363121,0.0002411969,0.001247433,0.0002432836,0.00008820812,0.001975373,0.001845505,0.0002677607,0.9001601,0.04575787,0.04761928],"study_design_scores_gemma":[0.0004115172,0.000108448,0.001057922,0.0002826868,0.0001805054,0.000008059906,0.0001153878,0.0487044,0.0002297158,0.9421313,0.006132443,0.0006375545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4074971,0.0005534863,0.448431,0.002844028,0.01091834,0.003061084,0.00128266,0.001253266,0.124159],"genre_scores_gemma":[0.2218991,0.00005894858,0.7674338,0.0006131576,0.0008032832,0.0006168909,0.0003105352,0.0002074516,0.008056896],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3190027,"threshold_uncertainty_score":0.9997509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2209414856465051,"score_gpt":0.4169027246839938,"score_spread":0.1959612390374887,"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."}}