{"id":"W2076885277","doi":"10.1016/s0143-974x(01)00063-3","title":"Story stability of semi-braced steel frames","year":2002,"lang":"en","type":"article","venue":"Journal of Constructional Steel Research","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bracing; Structural engineering; Buckling; Column (typography); Stability (learning theory); Braced frame; Brace; Buckle; Engineering; Beam (structure); Steel frame; Frame (networking); Computer science; Connection (principal bundle); Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002082996,0.0002656876,0.0003132716,0.0007571843,0.000523262,0.000742849,0.000605374,0.0005033824,0.006258086],"category_scores_gemma":[0.001402853,0.0002204743,0.0001503508,0.0002698046,0.0006767574,0.0005516559,0.0004314783,0.0002560428,0.0004440788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003417686,"about_ca_system_score_gemma":0.0001651435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125672,"about_ca_topic_score_gemma":0.00125897,"domain_scores_codex":[0.9999113,0.00002276822,0.000002874529,0.00001547044,0.0000247072,0.00002286311],"domain_scores_gemma":[0.9996038,0.0001374767,0.00009396444,0.00002127009,0.0000928297,0.00005057847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002193822,0.0002257962,0.009950535,0.0002264078,0.0001150973,0.0016736,0.001714518,0.3023825,0.073503,0.5368603,0.005753401,0.06540091],"study_design_scores_gemma":[0.00005768109,0.0002774438,0.01436589,0.00002798759,0.00002657051,0.0003445674,0.0008336042,0.8725807,0.004589213,0.1044606,0.002399179,0.00003649528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656098,0.000231322,0.019593,0.0001082528,0.00002160748,0.000009844334,0.00009245476,0.00003590685,0.01429779],"genre_scores_gemma":[0.996642,0.00005918957,0.0006377817,0.000006688632,0.00001094712,0.00000501397,0.00004465708,0.00001084801,0.002582862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006258086,"threshold_uncertainty_score":0.02093542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06097656582259167,"score_gpt":0.3036064971165881,"score_spread":0.2426299312939964,"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."}}