{"id":"W4220886605","doi":"10.1061/9780784484043.064","title":"Simplified Bayesian Ground Motion Models for Cumulative Absolute Velocity in Central and Eastern North America","year":2022,"lang":"en","type":"article","venue":"Geo-Congress 2022","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overfitting; Bayesian probability; Strong ground motion; Ground motion; Geography; Geology; Geodesy; Computer science; Seismology; Data mining; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001767617,0.0006907425,0.0008397116,0.001327473,0.0004475295,0.001482387,0.00240862,0.001271729,0.002494606],"category_scores_gemma":[0.005352514,0.0007253558,0.000932728,0.001236078,0.0008417327,0.001288736,0.000950231,0.0009286512,0.0004134597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735627,"about_ca_system_score_gemma":0.001212451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1493733,"about_ca_topic_score_gemma":0.109327,"domain_scores_codex":[0.9995458,0.0001372315,0.00002515997,0.0001610297,0.00006104135,0.00006977627],"domain_scores_gemma":[0.9987386,0.0006484802,0.0003051221,0.00004540887,0.000200817,0.00006158437],"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":[0.00002568578,0.00003060918,0.008307222,0.00002246434,0.00005380159,0.00006903974,0.0001222978,0.9622974,0.0002615692,0.01833406,0.0009663708,0.00950946],"study_design_scores_gemma":[0.000007275906,0.000006796419,0.002665134,0.000009702758,0.00001056369,0.00001383046,0.00002307331,0.9919038,0.00001965908,0.004894276,0.0004345344,0.00001139002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.586557,0.001783003,0.3936799,0.002178825,0.0000954241,0.0001975593,0.00299932,0.0003980927,0.01211087],"genre_scores_gemma":[0.9733759,0.0008341942,0.01544776,0.000143659,0.00004852268,0.0001668248,0.00161729,0.00005890224,0.008306895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1493733,"threshold_uncertainty_score":0.2970076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475156393084696,"score_gpt":0.2226424164212909,"score_spread":0.207890852490444,"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."}}