{"id":"W2801891186","doi":"10.1139/cjce-2017-0499","title":"Lateral torsional buckling of welded wide flange beams under constant moment","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Albert Einstein College of Medicine, Yeshiva University; Concordia University; Canadian Institute of Steel Construction","keywords":"Flange; Welding; Structural engineering; Buckling; Residual stress; Moment (physics); Finite element method; Eurocode; Constant (computer programming); Engineering; Materials science; Physics; Mechanical engineering; Computer science; Composite material; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001696167,0.0001759367,0.0003200312,0.0004871243,0.00004768735,0.00003524686,0.0002137726,0.00007957916,0.0004365028],"category_scores_gemma":[0.00005399098,0.0001731029,0.000138394,0.000265976,0.00005750627,0.0001370257,0.00001107268,0.0002495751,0.000006912126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003173788,"about_ca_system_score_gemma":0.0001541768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000688344,"about_ca_topic_score_gemma":0.01225954,"domain_scores_codex":[0.9988554,0.000008862608,0.000457558,0.00009267556,0.0002149865,0.0003705843],"domain_scores_gemma":[0.9991027,0.00005387044,0.00008460194,0.0001510681,0.0001572437,0.0004505057],"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":[0.00001375249,0.000005528116,0.006404522,0.0001539728,0.0008303134,0.000165695,0.001127197,0.8867152,0.1002734,0.001262562,0.002527188,0.0005206885],"study_design_scores_gemma":[0.004647096,0.0009306238,0.1099988,0.004053465,0.00101057,0.001673369,0.0009926325,0.4157684,0.3973512,0.002137911,0.05790437,0.0035315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985489,0.0009988601,0.01006875,0.0001251583,0.001569557,0.00005506895,0.00001938108,0.00004594672,0.001628269],"genre_scores_gemma":[0.9985393,0.000012085,0.001000044,0.00002739956,0.0003392185,7.281986e-7,0.000002398162,0.00003617974,0.00004261897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4709468,"threshold_uncertainty_score":0.7058932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006622711619618992,"score_gpt":0.1794208083443213,"score_spread":0.1727980967247023,"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."}}