{"id":"W2756450013","doi":"10.1002/cepa.376","title":"11.49: Lifetime seismic performance assessment of steel frame structures","year":2017,"lang":"en","type":"article","venue":"ce/papers","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Bracing; OpenSees; Structural engineering; Diagonal; Seismic analysis; Eurocode; Braced frame; Moment (physics); Frame (networking); Seismic hazard; Computer science; Pier; Range (aeronautics); Reliability engineering; Engineering; Reinforced concrete; Civil engineering; Mathematics; Brace","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":[0.0006699622,0.0005102241,0.0002751015,0.0007275844,0.0001431591,0.0003337984,0.0005560735,0.0005106584,0.003160659],"category_scores_gemma":[0.001142675,0.0001317924,0.000352856,0.0003582627,0.0002228638,0.0002883166,0.0002860138,0.0001848436,0.000518747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003863379,"about_ca_system_score_gemma":0.0002293206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001827635,"about_ca_topic_score_gemma":0.001390337,"domain_scores_codex":[0.9997301,0.00004428015,0.00001054996,0.00003127402,0.0001496958,0.00003413459],"domain_scores_gemma":[0.9996031,0.0001306317,0.00006858517,0.00004659286,0.0001266506,0.00002442107],"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":[0.0003103134,0.0001124528,0.01110452,0.0002033117,0.00005224908,0.0003678023,0.0001252102,0.8991746,0.04218908,0.001977366,0.001322496,0.04306063],"study_design_scores_gemma":[0.0000119906,0.0005844478,0.01245947,0.00002552429,0.00002209019,0.0001378172,0.00005106828,0.9628856,0.02214465,0.0004499139,0.001209596,0.00001792169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9337757,0.0001468693,0.05189747,0.00004862373,0.00002427995,0.0000469205,0.001626008,0.0006703816,0.01176384],"genre_scores_gemma":[0.9929098,0.00004247936,0.005045459,0.000003587378,0.000003012107,0.00002655896,0.0005974655,0.00003366919,0.001337956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003160659,"threshold_uncertainty_score":0.01057345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007452832822309204,"score_gpt":0.2403383622715783,"score_spread":0.232885529449269,"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."}}