{"id":"W4401207405","doi":"10.1007/978-3-031-65407-7_13","title":"Seismic Design and Evaluation of High-Performance Modular Tall Timber Building","year":2024,"lang":"en","type":"book-chapter","venue":"Geotechnical, geological and earthquake engineering","topic":"Seismic and Structural Analysis of Tall Buildings","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Modular design; Architectural engineering; Civil engineering; Engineering; Computer science; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003596614,0.0004672316,0.0003447399,0.0004390994,0.0001910048,0.0004146069,0.0006490233,0.000405454,0.001834966],"category_scores_gemma":[0.0004907582,0.0001898767,0.0002596947,0.000298181,0.0002923272,0.000222372,0.0002922208,0.0001532286,0.0002386721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004567202,"about_ca_system_score_gemma":0.0004644527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001989644,"about_ca_topic_score_gemma":0.003909014,"domain_scores_codex":[0.999803,0.00004952636,0.000005382789,0.00001522941,0.00009266836,0.00003417086],"domain_scores_gemma":[0.999786,0.00007312789,0.00002930221,0.00001989179,0.00005842777,0.00003335069],"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":[0.000296919,0.0001642793,0.003406449,0.00007775458,0.00002638608,0.0001667155,0.00006904782,0.8944687,0.07002808,0.001010999,0.0004722424,0.02981235],"study_design_scores_gemma":[0.00002896527,0.00125952,0.009693387,0.00000710226,0.00003225782,0.00007609456,0.0001042749,0.9717389,0.01582581,0.0003143348,0.0009067993,0.0000125416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467375,0.00008156584,0.04450949,0.00003777753,0.00001147143,0.00004516439,0.0001674577,0.0001989765,0.00821053],"genre_scores_gemma":[0.991203,0.00003091364,0.007354833,0.000004663462,0.000002616033,0.00001954213,0.00008356704,0.00001794099,0.001283016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001989644,"threshold_uncertainty_score":0.006138563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517237854336198,"score_gpt":0.1987243225188655,"score_spread":0.1835519439755035,"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."}}