{"id":"W2185909196","doi":"10.18057/ijasc.2013.9.1.6","title":"SYSTEM RELIABILITY ASSESSMENT OF 3D STEEL FRAMES DESIGNED PER AISC LRFD SPECIFICATIONS","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Structural engineering; Structural load; Frame (networking); Limit state design; Engineering; Steel frame; First-order reliability method; Mathematics; Statistics; Monte Carlo method; Mechanical engineering; Physics","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":[0.0006755776,0.0005095017,0.0003294553,0.000898606,0.0001854939,0.0002866939,0.0003860065,0.0003795061,0.0008802644],"category_scores_gemma":[0.001090344,0.0001800495,0.0004651098,0.0003301178,0.000238637,0.0002336394,0.0002047852,0.0001895805,0.0002404862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006646648,"about_ca_system_score_gemma":0.0002958846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00312492,"about_ca_topic_score_gemma":0.003672417,"domain_scores_codex":[0.9995665,0.0000992802,0.00001580223,0.00005969161,0.0002271338,0.00003159935],"domain_scores_gemma":[0.9994231,0.0002135612,0.00007431877,0.00005731622,0.000220456,0.00001119255],"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":[0.0002827922,0.00003715927,0.005767825,0.000121578,0.00004292771,0.0002194406,0.0001415258,0.8354079,0.07912436,0.001126804,0.0007529383,0.07697479],"study_design_scores_gemma":[0.00001489586,0.0006481344,0.02096967,0.00002148752,0.00004167026,0.0001746278,0.00007934769,0.9414123,0.03426033,0.0007982985,0.001534391,0.00004487991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8372095,0.0004674097,0.1563057,0.00005439384,0.0000205621,0.00006651278,0.0004481868,0.0005030053,0.00492473],"genre_scores_gemma":[0.9817015,0.0001289822,0.01677266,0.000006602862,0.000003665788,0.00002796813,0.0002816402,0.00002849776,0.001048558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00312492,"threshold_uncertainty_score":0.006213486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1200246639953482,"score_gpt":0.3211720413731886,"score_spread":0.2011473773778404,"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."}}