{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002548878,0.0005469006,0.0004809485,0.0003524267,0.0002617837,0.0005547223,0.0007008246,0.0007313036,0.002504798],"category_scores_gemma":[0.0003411633,0.0002252653,0.0005138911,0.0001821997,0.0005013267,0.0003223228,0.0006505412,0.0003641968,0.0003090597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515053,"about_ca_system_score_gemma":0.0005855809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978655,"about_ca_topic_score_gemma":0.001896101,"domain_scores_codex":[0.99984,0.00003650458,0.000006047883,0.00003178713,0.00005490302,0.00003062377],"domain_scores_gemma":[0.999886,0.00002814783,0.00003143707,0.00001021674,0.00002726857,0.00001687275],"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":[0.00004255051,0.00001746261,0.0006267232,0.00003910233,0.00001225119,0.0001384858,0.00003050071,0.9779683,0.009455192,0.003686982,0.0001988426,0.007783602],"study_design_scores_gemma":[0.000004573595,0.00005537473,0.000173274,0.00000483431,0.00000603223,0.00001814576,0.00001122807,0.9980477,0.0008945216,0.0004028166,0.000377657,0.000003724055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.245949,0.0002889241,0.7291129,0.000241944,0.00005512456,0.00009201962,0.0001554322,0.0004172879,0.02368749],"genre_scores_gemma":[0.9747419,0.00007528262,0.0225394,0.00002815033,0.000006427046,0.00008041484,0.00005479728,0.00001976489,0.002453956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002504798,"threshold_uncertainty_score":0.0083794,"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."}}