{"id":"W4400880148","doi":"10.1016/j.tws.2024.112260","title":"Ultimate in-plane shear capacity of 3-panel frameless cold-form steel corrugated walls under axial compression","year":2024,"lang":"en","type":"article","venue":"Thin-Walled Structures","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structural engineering; Truss; Shear wall; Finite element method; Shear (geology); Compression (physics); Sandwich panel; Structural system; Materials science; Deformation (meteorology); Cold-formed steel; Boundary value problem; Engineering; Composite material; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001799251,0.0004414092,0.0007387822,0.000382899,0.00008535133,0.0001208187,0.000424447,0.0003479287,0.0005077712],"category_scores_gemma":[0.0000409947,0.000368186,0.0001750112,0.0005287172,0.000123661,0.0001953922,0.00009394663,0.0008314938,0.00003086509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066775,"about_ca_system_score_gemma":0.00003822991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001273645,"about_ca_topic_score_gemma":0.0002413276,"domain_scores_codex":[0.9978095,0.00007344408,0.0006507103,0.0004317318,0.0005173056,0.000517334],"domain_scores_gemma":[0.9990232,0.0002140001,0.00007813857,0.0004767659,0.00006973423,0.0001381475],"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":[0.00009254568,0.00001450147,0.0003200604,0.0007273378,0.0004427345,0.00005562247,0.003100748,0.1827732,0.8072578,0.004031016,0.0004962849,0.0006881593],"study_design_scores_gemma":[0.001733278,0.00009379863,0.08439013,0.0007051298,0.000297037,0.0000741254,0.0006336442,0.2881653,0.6064389,0.01586691,0.0003971293,0.001204581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959237,0.0007372082,0.0002217399,0.00003795732,0.001023162,0.0002702374,0.0001247597,0.0006568704,0.001004351],"genre_scores_gemma":[0.9979656,0.00005800896,0.001549158,0.00003156782,0.000118274,0.000009276109,0.00007496749,0.00007715182,0.0001159533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2008189,"threshold_uncertainty_score":0.999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201365731681276,"score_gpt":0.2387279893451953,"score_spread":0.2185914161770677,"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."}}