{"id":"W1983826692","doi":"10.1007/s10518-008-9093-2","title":"Deaggregation of seismic loss of spatially distributed buildings","year":2008,"lang":"en","type":"article","venue":"Bulletin of Earthquake Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Federal Emergency Management Agency","keywords":"Seismic hazard; Seismology; Hydrogeology; Environmental Seismic Intensity scale; Seismic risk; Earthquake scenario; Seismic to simulation; Geology; Aggregate (composite); Incremental Dynamic Analysis; Earthquake simulation; Magnitude (astronomy); Ground motion; Seismic inversion; Geotechnical engineering; Geography; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001065476,0.0001430918,0.0003438737,0.0001633467,0.00001712959,0.000002136658,0.0001356452,0.00005956044,0.00009918524],"category_scores_gemma":[0.00005294478,0.0001575731,0.0001283812,0.0002640866,0.00004573253,0.00003503332,0.00001984967,0.0001001249,0.000008918282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001490221,"about_ca_system_score_gemma":0.00001325086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008936226,"about_ca_topic_score_gemma":0.000001097189,"domain_scores_codex":[0.9990486,0.000005488673,0.000467784,0.0001041906,0.0001940625,0.0001798969],"domain_scores_gemma":[0.99952,0.00005303881,0.0001062605,0.0001942439,0.00008301139,0.00004346108],"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":[0.000007069376,0.0000180872,0.003138923,0.0002469742,0.00008261223,0.000004537749,0.0001357173,0.9826952,0.01109171,0.00004112973,0.0003219631,0.002216091],"study_design_scores_gemma":[0.0009538633,0.0001029928,0.06431768,0.0005033879,0.00009434125,0.00004192391,0.00003580773,0.6090881,0.2896703,0.00001089152,0.0347118,0.0004688928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425584,0.0003156386,0.05671016,0.00003283288,0.00007937512,0.00005667548,0.00003161494,0.00007997074,0.0001353447],"genre_scores_gemma":[0.9966737,0.0002725362,0.002918313,0.000006112635,0.00004399492,0.000003602318,0.00002664493,0.00002466947,0.00003039712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3736071,"threshold_uncertainty_score":0.6425645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005791318894730359,"score_gpt":0.1731170194833183,"score_spread":0.1673257005885879,"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."}}