{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009893772,0.0001911693,0.000290124,0.00007361216,0.0002053913,0.00006514519,0.0004625966,0.0001007238,0.0003271378],"category_scores_gemma":[0.00001228994,0.0001718861,0.0001213158,0.00006895028,0.00009994643,0.0002502874,0.00005896777,0.0001929554,0.0000304076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005585025,"about_ca_system_score_gemma":0.00003694908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003759871,"about_ca_topic_score_gemma":0.000006894752,"domain_scores_codex":[0.9990547,0.000007187894,0.0002411229,0.0001773286,0.0002307598,0.0002889551],"domain_scores_gemma":[0.9991242,0.0000162737,0.00009979955,0.0006498646,0.00002851115,0.00008133098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001912459,0.00006541441,0.2639317,0.0009473011,0.0008333297,0.00001699098,0.001030046,0.5000044,0.1533733,0.0004185803,0.004041429,0.07531842],"study_design_scores_gemma":[0.0005104913,0.00004769116,0.5701734,0.0001036374,0.0001107372,0.000005555034,0.0002128397,0.381655,0.01225834,0.00003538221,0.03448486,0.0004020369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940193,0.0001329353,0.00007087494,0.00007384033,0.0003044682,0.00006471498,0.00001168484,0.00009109494,0.05905738],"genre_scores_gemma":[0.9980913,0.0004249955,0.00037477,0.0001427681,0.0001479405,0.000008494349,0.00001260322,0.00002864409,0.000768434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3062417,"threshold_uncertainty_score":0.7009313,"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."}}