{"id":"W1991691074","doi":"10.1016/j.strusafe.2008.03.002","title":"Extreme quantile estimation from censored sample using partial cross-entropy and fractional partial probability weighted moments","year":2008,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"University Network of Excellence in Nuclear Engineering","keywords":"Quantile; Mathematics; Quantile function; Order statistic; Statistics; Entropy (arrow of time); Extreme value theory; Random variable; Principle of maximum entropy; Applied mathematics; Mathematical optimization; Moment-generating function","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003376986,0.0005028467,0.001249278,0.001568761,0.0003382933,0.001031983,0.00103236,0.0008787179,0.001289648],"category_scores_gemma":[0.01139114,0.0005560759,0.001012866,0.00106208,0.0008886932,0.001951377,0.001286471,0.0009281315,0.0001538463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005620642,"about_ca_system_score_gemma":0.0004944567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204195,"about_ca_topic_score_gemma":0.001012121,"domain_scores_codex":[0.9989554,0.0005091716,0.00004724971,0.0001680625,0.0002278201,0.00009230846],"domain_scores_gemma":[0.9942428,0.004307985,0.0005264411,0.0004659173,0.0003535801,0.0001032397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000207212,0.00006092871,0.006227829,0.0001032513,0.0001971791,0.0002087271,0.0001131186,0.8602659,0.003258786,0.06389794,0.0005547493,0.06490447],"study_design_scores_gemma":[0.000003539054,0.00001026196,0.0009689205,0.000004807172,0.000007637615,0.00002751264,0.000005669037,0.9834998,0.0005224944,0.0148487,0.00009131972,0.000009410712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02687558,0.0000713617,0.9726458,0.0000291008,0.00000622183,0.00000651017,0.00002823922,0.0001259613,0.0002111973],"genre_scores_gemma":[0.8685475,0.0001747067,0.1298885,0.00004307193,0.00005174486,0.00005318963,0.0003196367,0.00007220769,0.0008493889],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003376986,"threshold_uncertainty_score":0.01785946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162957971666997,"score_gpt":0.345100936565527,"score_spread":0.2288051393988274,"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."}}