{"id":"W4404115894","doi":"10.1016/j.soildyn.2024.109070","title":"Parameterized fragility-based uncertainty influence quantification and sensitivity analysis methodology: Concept, formulation, and application","year":2024,"lang":"en","type":"article","venue":"Soil Dynamics and Earthquake Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Fragility; Parameterized complexity; Sensitivity (control systems); Uncertainty quantification; Computer science; Mathematics; Reliability engineering; Engineering; Algorithm; Physics; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001353665,0.001193722,0.0008305736,0.001535957,0.0004329855,0.001173745,0.001318117,0.0009085767,0.00228898],"category_scores_gemma":[0.004638891,0.0006149887,0.001336825,0.001103738,0.001261558,0.001905211,0.001457223,0.001050852,0.0002232682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266415,"about_ca_system_score_gemma":0.001214497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003171009,"about_ca_topic_score_gemma":0.002783673,"domain_scores_codex":[0.9992956,0.0002183026,0.00002613908,0.0001175466,0.0002837756,0.00005865032],"domain_scores_gemma":[0.9980522,0.00121031,0.000220312,0.000160162,0.0003184763,0.00003846006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008122589,0.00001827013,0.0002208076,0.00003550434,0.00002482075,0.00003277986,0.0000268999,0.969002,0.001785678,0.01651275,0.0001996981,0.01213265],"study_design_scores_gemma":[7.572824e-7,0.000007233337,0.00007514888,0.000005242694,0.000005343782,0.0000116162,0.000003527574,0.9946292,0.0004229195,0.004636447,0.0001982853,0.000004392897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00617904,0.0001029515,0.9919412,0.00004246257,0.00000660998,0.00002295272,0.00005235084,0.00008897317,0.001563372],"genre_scores_gemma":[0.7913913,0.0006832508,0.2036996,0.00009819619,0.00006075507,0.0002945365,0.0003131608,0.0002288019,0.003230548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003171009,"threshold_uncertainty_score":0.009188533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009433926965487881,"score_gpt":0.233583757636391,"score_spread":0.2241498306709031,"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."}}