{"id":"W2075189950","doi":"10.1193/060513eqs143m","title":"Application of Spatially Correlated and Coherent Records of Scenario Event to Estimate Seismic Loss of a Portfolio of Buildings","year":2014,"lang":"en","type":"article","venue":"Earthquake Spectra","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Western University","keywords":"Nonlinear system; Seismic risk; Event (particle physics); Geology; Seismology; Structural engineering; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006161137,0.0004099075,0.0003136939,0.0007139893,0.0001971647,0.0003943498,0.0005740676,0.0005266489,0.0004711034],"category_scores_gemma":[0.00329472,0.0002939302,0.0003739924,0.0005874369,0.0003179659,0.0006304096,0.0005044102,0.00028442,0.00007736505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007500302,"about_ca_system_score_gemma":0.0004103354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0148562,"about_ca_topic_score_gemma":0.01053394,"domain_scores_codex":[0.9997268,0.00008533803,0.00001947188,0.00005822146,0.00007657571,0.00003350856],"domain_scores_gemma":[0.9990207,0.000390711,0.0002290041,0.0001681519,0.0001186922,0.00007264252],"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":[0.00009686472,0.00005345201,0.04141422,0.00001353528,0.0000654188,0.0001136621,0.00003194848,0.9515378,0.001949764,0.0002893971,0.00004241844,0.004391498],"study_design_scores_gemma":[0.000006134533,0.00004788461,0.01976867,0.000001902136,0.000009630647,0.00003235375,0.0000220759,0.9792563,0.0007209331,0.00009740505,0.00002889904,0.000007834979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936551,0.00001445454,0.005887175,0.00001424047,0.000001169714,0.00000747904,0.00008683889,0.00002750536,0.0003059164],"genre_scores_gemma":[0.9991835,0.000009523599,0.000658088,0.000001767399,8.761164e-7,0.000002706882,0.00008914372,0.000001836728,0.00005259865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0148562,"threshold_uncertainty_score":0.02953941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003734674901465196,"score_gpt":0.2188340002104751,"score_spread":0.2150993253090099,"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."}}