{"id":"W4319454257","doi":"10.47869/tcsj.74.1.2","title":"Moment modification factors for the buckling design of steel beams – new recommendations","year":2023,"lang":"en","type":"article","venue":"The Transport and Communications Science Journal","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trường Đại học Giao thông vận tải","keywords":"Buckling; Eurocode; Structural engineering; Moment (physics); Finite element method; Beam (structure); Bending moment; Flexural strength; Computer science; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009962372,0.00006480029,0.00008262105,0.0001317995,0.001110211,0.00005800235,0.001004754,0.00001635687,0.00000813891],"category_scores_gemma":[0.00002025518,0.00003795338,0.00005159773,0.0008204611,0.0002512051,0.0001735659,0.00002422824,0.0001622718,0.000001002709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003462053,"about_ca_system_score_gemma":0.00006154643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004136738,"about_ca_topic_score_gemma":0.00001396999,"domain_scores_codex":[0.9993712,0.00001780213,0.0002401074,0.00006280078,0.0001675429,0.0001406011],"domain_scores_gemma":[0.9989288,0.000326889,0.00006951512,0.0005402063,0.00008175934,0.00005278723],"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":[0.00001194183,0.00002191376,0.003061655,0.00001673395,0.0001940781,8.903142e-8,0.01859761,0.8041202,0.1219182,0.006416753,0.0005786082,0.04506218],"study_design_scores_gemma":[0.0002978133,0.00003777989,0.1091346,0.0000522825,0.0002702269,0.00001117774,0.007846518,0.8593997,0.01458812,0.00521439,0.002956993,0.0001904269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4890204,0.001060099,0.4966636,0.01217078,0.0002571747,0.0004948285,0.00001801733,0.0001417276,0.0001734084],"genre_scores_gemma":[0.9893684,0.002293603,0.008202588,0.000008073998,0.00001745723,0.00001290859,0.000007517167,0.000006533598,0.00008294744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.500348,"threshold_uncertainty_score":0.8538958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1133530272689961,"score_gpt":0.3116227511796228,"score_spread":0.1982697239106267,"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."}}