{"id":"W2756379644","doi":"10.1061/(asce)em.1943-7889.0001359","title":"Lateral Torsional Buckling of Wooden Beams with Midspan Lateral Bracing Offset from Section Midheight","year":2017,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bracing; Structural engineering; Brace; Buckling; Antisymmetric relation; Parametric statistics; Offset (computer science); Engineering; Critical load; Finite element method; Structural load; Computer science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002903864,0.0004861057,0.000408314,0.0004513879,0.0003241635,0.000423972,0.0006129631,0.0008533168,0.002285558],"category_scores_gemma":[0.0006052476,0.0003495679,0.0004394339,0.0002219873,0.0004305335,0.0003225807,0.0003583121,0.0003074756,0.0002660922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004460212,"about_ca_system_score_gemma":0.0007941059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004045662,"about_ca_topic_score_gemma":0.009463048,"domain_scores_codex":[0.9999045,0.00001651329,0.000004184573,0.00001256775,0.00004508276,0.00001721941],"domain_scores_gemma":[0.9998263,0.00007763615,0.0000340396,0.00001462134,0.00003552178,0.00001188377],"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":[0.00005325281,0.00002959717,0.001241299,0.0001102933,0.00001506506,0.0002708541,0.0001218237,0.9422321,0.03500897,0.004084404,0.0002234712,0.01660885],"study_design_scores_gemma":[0.000006414607,0.00002785411,0.0004286321,0.000006554319,0.000002972417,0.00002523954,0.00002940088,0.9961796,0.002496798,0.0005175407,0.0002741596,0.000004900286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5044221,0.0002426746,0.4790432,0.0001386504,0.00003092372,0.0001267337,0.0001950899,0.0002549818,0.01554577],"genre_scores_gemma":[0.9458784,0.0001557079,0.04594705,0.00003376565,0.00000924625,0.00009785345,0.0001109282,0.00005643305,0.007710605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004045662,"threshold_uncertainty_score":0.008044243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006049098334705701,"score_gpt":0.1887580023980484,"score_spread":0.1827089040633427,"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."}}