{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004299571,0.0001589762,0.0002523865,0.0002608562,0.00006928275,0.000103863,0.00002288052,0.00009176205,0.000001651064],"category_scores_gemma":[0.00004660372,0.0001625682,0.00005336861,0.0005263646,0.0000434955,0.0001902813,0.00001432684,0.0001453396,9.216755e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000309624,"about_ca_system_score_gemma":0.00001007634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001449034,"about_ca_topic_score_gemma":0.0001644156,"domain_scores_codex":[0.9992477,0.00002660625,0.000210197,0.0002694381,0.00007875795,0.0001672842],"domain_scores_gemma":[0.9994599,0.0002446981,0.0000211925,0.0001598675,0.00003218881,0.00008213528],"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":[0.000002867792,0.000002050041,0.002617836,0.0001343876,0.0001711148,0.000001696566,0.0001413011,0.9599656,0.002969763,0.00108484,6.127884e-7,0.03290789],"study_design_scores_gemma":[0.00009251742,0.000008549303,0.07342052,0.00002140206,0.0002117283,0.00000457967,0.00003182045,0.9256919,0.0001674188,0.0001132818,0.00007070915,0.0001655547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5503906,0.0003718887,0.4489604,0.00005057558,0.00002444397,0.00004789201,0.00001800901,0.000133277,0.000002930284],"genre_scores_gemma":[0.9967698,0.0002156493,0.002778975,0.00002862261,0.00002079937,0.00001669297,0.0001479879,0.00001609065,0.000005407312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4463792,"threshold_uncertainty_score":0.662934,"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."}}