{"id":"W4206648292","doi":"10.21203/rs.3.rs-1259019/v1","title":"New Glulam-Framed Shear Wall Concept with Enhanced Behaviour Characteristics for Tall Timber Buildings in Seismic Areas.","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Agencia Nacional de Investigación y Desarrollo; Corporación de Fomento de la Producción","keywords":"Shear wall; Structural engineering; Cross laminated timber; Framing (construction); Stiffness; Shear (geology); Limiting; Brittleness; Eurocode; Ductility (Earth science); Engineering; Geotechnical engineering; Oriented strand board; Materials science; Composite material; Creep","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":[0.0001177846,0.0004258316,0.0002337232,0.0003172997,0.0001637728,0.0004410166,0.0004574404,0.0004715783,0.002617265],"category_scores_gemma":[0.0001289481,0.0001171897,0.0001799165,0.0002363115,0.0002312876,0.0003919794,0.0003610964,0.0002498921,0.0008238986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479679,"about_ca_system_score_gemma":0.0001346336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001933927,"about_ca_topic_score_gemma":0.0004839699,"domain_scores_codex":[0.9999344,0.00001151374,0.000002251146,0.00001374497,0.00002448692,0.0000136552],"domain_scores_gemma":[0.9999149,0.00001056165,0.00001385281,0.00001513162,0.00002738933,0.00001819503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003422418,0.0001500802,0.001074501,0.0002206981,0.00001911053,0.0003432837,0.0001440997,0.01544353,0.8904554,0.009213175,0.001917318,0.08067665],"study_design_scores_gemma":[0.000106973,0.002848495,0.01476158,0.0001413987,0.0001285173,0.001591637,0.0004941353,0.2855062,0.6179117,0.006462073,0.06991409,0.0001331804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6125787,0.001961109,0.3583684,0.0001389156,0.0002353904,0.00005094142,0.0002579049,0.001422038,0.02498662],"genre_scores_gemma":[0.956199,0.0002632637,0.03632534,0.00003854788,0.00002664428,0.00003152181,0.0001179769,0.00005676832,0.006940965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002617265,"threshold_uncertainty_score":0.008755624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291499963886464,"score_gpt":0.3140617104496651,"score_spread":0.2811467108108005,"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."}}