{"id":"W2754757902","doi":"10.1007/s10950-017-9695-8","title":"An operational-oriented approach to the assessment of low probability seismic ground motions for critical infrastructures","year":2017,"lang":"en","type":"article","venue":"Journal of Seismology","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Seventh Framework Programme","keywords":"Seismic hazard; Hazard; Natural hazard; Seismic risk; Probability distribution; Fragility; Seismology; Extreme value theory; Hazard analysis; Monte Carlo method; Hydrogeology; Uncertainty quantification; Computer science; Reliability engineering; Statistics; Geology; Engineering; Mathematics; Physics; Geotechnical engineering","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":[0.000442864,0.00009087873,0.0002470893,0.00008982095,0.0002235786,0.000047437,0.0003638806,0.00006760216,0.00001492604],"category_scores_gemma":[0.0001481009,0.00006139065,0.0001048727,0.00005674266,0.0001157129,0.0002927438,0.00002462895,0.0001855715,5.425625e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005548674,"about_ca_system_score_gemma":0.00007168931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002024895,"about_ca_topic_score_gemma":0.000002503943,"domain_scores_codex":[0.9991918,0.00003679896,0.0003799999,0.00009168654,0.000145007,0.0001547037],"domain_scores_gemma":[0.9991692,0.00005746632,0.0001112747,0.0003160399,0.0002730365,0.00007296023],"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":[0.00002000115,0.0001994856,0.005057559,0.0001144999,0.0001977524,0.00000182462,0.0004603395,0.977531,0.002591014,0.009861897,0.001584149,0.0023805],"study_design_scores_gemma":[0.0004033677,0.0002744349,0.1982918,0.00002064584,0.0000963112,0.00009599241,0.0002079322,0.791985,0.000453067,0.006159476,0.001909464,0.0001024823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5379857,0.00001593806,0.4602196,0.001263239,0.0002503263,0.0000907693,0.00001700538,0.000005304452,0.0001520919],"genre_scores_gemma":[0.9704069,0.000008234221,0.02889616,0.0003863631,0.000259692,0.00001498396,0.000008046407,0.000008625273,0.00001101719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4324212,"threshold_uncertainty_score":0.2503438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813015779539371,"score_gpt":0.3109560134088639,"score_spread":0.2928258556134701,"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."}}