{"id":"W3170721888","doi":"10.1177/87552930211007503","title":"NGA‐East ground‐motion characterization model Part II: Implementation and hazard implications","year":2021,"lang":"en","type":"article","venue":"Earthquake Spectra","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Electric Power Research Institute; U.S. Nuclear Regulatory Commission; U.S. Geological Survey; U.S. Department of Energy","keywords":"Seismic hazard; Ground motion; Hazard; Seismology; Hazard analysis; Commission; Seismic risk; Geology; Civil engineering; Forensic engineering; Engineering; Law; Reliability engineering; Political science","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":[0.00006004373,0.0001060329,0.0001116605,0.00006744494,0.0001689007,0.00006550735,0.00003883061,0.00003932573,0.0002484078],"category_scores_gemma":[0.000002718424,0.0001211492,0.00004399803,0.0002308468,0.00001338411,0.0003398416,0.0000161867,0.00008008861,0.00003080809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003248985,"about_ca_system_score_gemma":0.00002033642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000035624,"about_ca_topic_score_gemma":0.00007275891,"domain_scores_codex":[0.9993556,0.00001029385,0.0001911767,0.0001733079,0.00009179088,0.000177814],"domain_scores_gemma":[0.9996995,0.000004034969,0.00002928464,0.0001730724,0.00004000114,0.00005409212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000006894,0.0001037273,0.01277206,0.000102659,0.0002402066,0.000006823917,0.003045029,0.02788972,0.3561199,0.007905659,0.001371637,0.5904357],"study_design_scores_gemma":[0.0006734572,0.00003615647,0.4801147,0.00002928173,0.0001285234,0.0000441168,0.0007838074,0.4757209,0.02920575,0.001261892,0.01149779,0.0005036445],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461709,0.00008028159,0.05190805,0.0007009984,0.0000839335,0.00007021596,0.00005296231,0.0001497563,0.000782926],"genre_scores_gemma":[0.9976451,0.0003747361,0.000526119,0.0001256606,0.0001662977,0.00002107707,0.0008165165,0.00001776364,0.000306758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5899321,"threshold_uncertainty_score":0.494032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526472598521819,"score_gpt":0.2321790756412725,"score_spread":0.2169143496560543,"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."}}