{"id":"W4400486146","doi":"10.1002/eqe.4195","title":"Numerical hybrid simulation assessment of E‐BRBF and E‐FBF systems for mitigating P‐delta effects and enhancing post‐earthquake performance","year":2024,"lang":"en","type":"article","venue":"Earthquake Engineering & Structural Dynamics","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer simulation; Delta; E learning; Computer science; Geology; Environmental science; Geotechnical engineering; Engineering; Simulation; Aerospace engineering; The Internet; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001540896,0.000278727,0.0003734374,0.0001822743,0.00008407189,0.0001226413,0.00007293341,0.00007614471,0.000002317587],"category_scores_gemma":[0.00003475326,0.000270207,0.00008128538,0.0001952764,0.00002676987,0.0003422688,0.00002576248,0.0002371757,7.700141e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007365325,"about_ca_system_score_gemma":0.0000194737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002123362,"about_ca_topic_score_gemma":0.000004165138,"domain_scores_codex":[0.9988432,0.00001099865,0.0003913966,0.0002640928,0.00016156,0.0003287359],"domain_scores_gemma":[0.9993711,0.0002952316,0.00004234948,0.0001469196,0.00005521622,0.00008915985],"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":[0.000002567745,0.00000136301,0.001051432,0.002817939,0.00008765345,0.000003485906,0.0001165451,0.8448098,0.001340284,0.0001957997,0.00000177066,0.1495713],"study_design_scores_gemma":[0.0001755311,0.00008185087,0.1269432,0.0005822858,0.00006327911,0.00003009424,0.00003007933,0.8714386,0.0003332046,0.00001017416,0.00005331704,0.0002584181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8752429,0.002167108,0.121509,0.00001031953,0.0005272061,0.0002293398,0.00005455543,0.0002508861,0.000008624846],"genre_scores_gemma":[0.9963163,0.0002055098,0.003120371,0.000006792791,0.0001518376,0.0000233461,0.0001040964,0.00005828049,0.00001344548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1493129,"threshold_uncertainty_score":0.999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00325426960800912,"score_gpt":0.2186074541669925,"score_spread":0.2153531845589833,"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."}}