{"id":"W4410334567","doi":"10.1016/j.jobab.2025.04.002","title":"Lateral resistance performance of wood-frame shear walls with wooden nail connections: Experimental and finite element analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Bioresources and Bioproducts","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Key Technologies Research and Development Program; Graduate Research and Innovation Projects of Jiangsu Province","keywords":"Finite element method; Structural engineering; Shear wall; Nail (fastener); Shear (geology); Frame (networking); Materials science; Engineering; Geotechnical engineering; Composite material; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005502963,0.0005721083,0.0003449568,0.0006082307,0.0002537898,0.0003069666,0.0006713869,0.0006096329,0.001831294],"category_scores_gemma":[0.0007857209,0.0003666105,0.0004321705,0.0003547453,0.000547652,0.0003440834,0.0003448104,0.0002024212,0.0003476146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002758137,"about_ca_system_score_gemma":0.0002776635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035265,"about_ca_topic_score_gemma":0.002453633,"domain_scores_codex":[0.9997107,0.00004103954,0.00002474905,0.00004795895,0.000129571,0.00004588406],"domain_scores_gemma":[0.9995064,0.0001880849,0.0001039033,0.00007141622,0.00009012338,0.00004015642],"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":[0.0005975188,0.0004433798,0.01796089,0.0003014675,0.00005140113,0.0004812666,0.0006193544,0.2397283,0.7122648,0.0005298533,0.0002605819,0.02676122],"study_design_scores_gemma":[0.00003636264,0.002285181,0.04074393,0.00006534235,0.0001013952,0.0001611601,0.0005529514,0.431439,0.523097,0.0001688479,0.001286094,0.00006269253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971235,0.00004169357,0.002314863,0.000004761661,0.000004590123,0.000008778406,0.00006487063,0.00003118781,0.0004057124],"genre_scores_gemma":[0.9974205,0.00003698496,0.001959448,0.000002018529,0.000001080262,0.00001590345,0.000075348,0.000006305273,0.0004823605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001831294,"threshold_uncertainty_score":0.006126285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005865702811183589,"score_gpt":0.191915852108789,"score_spread":0.1860501492976054,"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."}}