{"id":"W3188811969","doi":"10.1016/j.istruc.2021.07.072","title":"Cross-section capacity of RHS and SHS at elevated temperatures: Comparison of design methodologies","year":2021,"lang":"en","type":"article","venue":"Structures","topic":"Fire effects on concrete materials","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Eurocode; Structural engineering; Parametric statistics; Bending; Buckling; Shell (structure); Fire resistance; Section (typography); Cross section (physics); Compression (physics); Cold-formed steel; Engineering; Computer science; Materials science; Mechanical engineering; Mathematics; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002407554,0.0001385915,0.0003939447,0.00004971566,0.00004122088,0.00003152223,0.00007287933,0.0001418497,0.0001299938],"category_scores_gemma":[0.000488004,0.000122884,0.00003701213,0.000114825,0.0001193074,0.00005601941,0.00004558308,0.0001030197,3.258485e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002976327,"about_ca_system_score_gemma":0.00001714766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000538727,"about_ca_topic_score_gemma":0.00001302003,"domain_scores_codex":[0.9990857,0.0002357942,0.0002794141,0.0001518126,0.0001152317,0.0001320604],"domain_scores_gemma":[0.9991896,0.0004305912,0.00007287248,0.0001907556,0.00008990146,0.00002629641],"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":[0.00004926106,0.000001284879,0.004231771,0.0003645354,0.000068399,0.000001854328,0.0003388386,0.008188588,0.9861502,0.0001739452,0.0002042114,0.0002271298],"study_design_scores_gemma":[0.0002024312,0.00004762064,0.05033897,0.00002143908,0.00001839792,0.00001303099,0.0000382498,0.001026976,0.9475497,0.0005515702,0.00008830499,0.0001033104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954937,0.0009388094,0.002535803,0.000003265203,0.0006874574,0.0001178446,0.00004493951,0.0001070094,0.00007122202],"genre_scores_gemma":[0.9736224,0.00002656979,0.02625223,0.000004719499,0.00004764317,0.000003911435,0.00001146023,0.00001760587,0.00001349104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0461072,"threshold_uncertainty_score":0.5011065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05876622737555743,"score_gpt":0.319984669039569,"score_spread":0.2612184416640115,"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."}}