{"id":"W6992969237","doi":"","title":"Modelling and Inference for Extremal Events","year":2018,"lang":"en","type":"other","venue":"eCommons (Cornell University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Univariate; Extreme value theory; Inference; Cluster analysis; Statistical inference; Multivariate statistics; Class (philosophy); Fiducial inference","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":["insufficient_payload"],"category_scores_codex":[0.0001243091,0.0004184521,0.0004367756,0.001187253,0.0001427757,0.00002819023,0.0005330365,0.0004097707,0.0014035],"category_scores_gemma":[0.00002279107,0.0005123366,0.0001380458,0.0004844803,0.0001853146,0.0001374245,0.0002820643,0.0001873281,0.002424725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485145,"about_ca_system_score_gemma":0.00008533372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002375282,"about_ca_topic_score_gemma":0.0009260568,"domain_scores_codex":[0.9985086,0.00007706283,0.0001407459,0.0007309517,0.00009454037,0.0004481547],"domain_scores_gemma":[0.9987335,0.0001172312,0.0002754398,0.0005952129,0.00007202174,0.0002065542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000390576,0.0003506322,0.008495692,0.0003609181,0.0006648811,0.0000914812,0.0001841145,0.01297659,0.00002238344,0.02560274,0.9505237,0.0003362838],"study_design_scores_gemma":[0.001339821,0.0001071453,0.0000525524,0.0003146241,0.0002666604,0.00000416835,0.00005488813,0.07254095,0.000009641489,0.002377729,0.9221513,0.0007804706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004119614,0.0001163946,0.09068307,0.000006368834,0.0003008177,0.0007645577,0.0007664257,0.0005424805,0.9027003],"genre_scores_gemma":[0.03911013,0.00009885629,0.003412852,0.000008621872,0.0002393546,0.000001719689,0.0001127359,0.000753845,0.9562619],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08727022,"threshold_uncertainty_score":0.9997329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07338279949153892,"score_gpt":0.2272200838801111,"score_spread":0.1538372843885722,"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."}}