{"id":"W4415487909","doi":"10.1016/j.strusafe.2025.102667","title":"Resilience based seismic design of CLT coupled walls and Glulam moment resisting frame system","year":2025,"lang":"en","type":"article","venue":"Structural Safety","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Frame (networking); Resilience (materials science); Baseline (sea); Moment (physics); Surrogate model; Nonlinear system; Seismic analysis; Genetic algorithm; Seismic loading","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":[0.0001810701,0.000143338,0.0002674311,0.0001070961,0.000113341,0.00001707826,0.0001337871,0.00006511614,0.00001445118],"category_scores_gemma":[0.00001845689,0.0001232126,0.00004813369,0.0003116071,0.00004803896,0.00007793794,0.00002791608,0.0001100092,0.000001685714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271666,"about_ca_system_score_gemma":0.00003055448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008466296,"about_ca_topic_score_gemma":0.000002812971,"domain_scores_codex":[0.9991042,0.00002703571,0.0003414461,0.0001721618,0.0001475624,0.0002075698],"domain_scores_gemma":[0.9995753,0.00007957851,0.00005238735,0.0002127262,0.00003979786,0.00004017314],"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":[0.00005704038,0.000001491061,0.001687439,0.0005315556,0.00007997696,0.000003013881,0.00008633173,0.9731613,0.01773183,0.0002924587,0.00007803382,0.006289517],"study_design_scores_gemma":[0.0003147206,0.00001314333,0.01330457,0.0002276969,0.00004960328,0.000001733648,0.0001446234,0.9806235,0.00504264,0.0000715123,0.00008577419,0.0001204729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.823931,0.0005119491,0.1746111,0.00009270424,0.0001601709,0.0001644334,0.00001265177,0.0001375179,0.0003785457],"genre_scores_gemma":[0.9974092,0.00004260432,0.002370445,0.00005398138,0.00002301418,0.000005803133,0.0000076817,0.000008836371,0.00007847059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1734782,"threshold_uncertainty_score":0.5024464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005570489800188817,"score_gpt":0.2104709951363052,"score_spread":0.2049005053361164,"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."}}