{"id":"W4232724021","doi":"10.1002/9780470057339.vnn018","title":"Copula Modeling for Extremes","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Copula (linguistics); Econometrics; Statistics; Environmental science; Mathematics","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":[0.001029044,0.0003284668,0.0005303455,0.001067055,0.000175961,0.00002342212,0.0006223335,0.0004999168,0.001713019],"category_scores_gemma":[0.0003832894,0.0003536677,0.0003182302,0.0007673788,0.0003118982,0.0001105109,0.0001078778,0.0001979281,0.0001005994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009240926,"about_ca_system_score_gemma":0.00005653579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101812,"about_ca_topic_score_gemma":0.0007075083,"domain_scores_codex":[0.9974653,0.0001291551,0.000462868,0.0004342783,0.0008593663,0.0006490497],"domain_scores_gemma":[0.9985977,0.000184085,0.0004733935,0.0005427558,0.00003047035,0.0001716297],"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":[0.00001926271,0.0006616627,0.05884713,0.0006507002,0.000397058,0.000005262359,0.002364068,0.0003976831,0.000001512636,0.03347777,0.8026185,0.1005594],"study_design_scores_gemma":[0.0002088479,0.000019818,0.0006996903,0.00004073971,0.0001763895,6.421417e-8,0.0003131457,0.0001023424,5.804336e-7,0.000691216,0.9973571,0.0003901078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001841738,0.01231718,0.01444953,0.0000480392,0.001984345,0.001216845,0.0001678987,0.0001384882,0.9694935],"genre_scores_gemma":[0.0101321,0.08064704,0.01909472,0.00007172632,0.003081052,0.0001694493,0.0001098535,0.000596965,0.8860971],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1947386,"threshold_uncertainty_score":0.9998915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03241581897093183,"score_gpt":0.2992535775148276,"score_spread":0.2668377585438957,"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."}}