{"id":"W4412435694","doi":"10.1016/j.istruc.2025.109658","title":"Post-earthquake fire analysis of a low-rise steel frame in OpenSees using a hybrid model","year":2025,"lang":"en","type":"article","venue":"Structures","topic":"Fire effects on concrete materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"OpenSees; Structural engineering; Frame (networking); Steel frame; Earthquake resistance; Geology; Computer science; Engineering; Finite element method; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001164408,0.0001857366,0.0005167061,0.000455791,0.00002503885,0.00004897224,0.0001977769,0.0000868584,0.00008760234],"category_scores_gemma":[0.00009116149,0.0001806801,0.0001166699,0.0005693974,0.00004176096,0.00009072407,0.00006430099,0.0001166861,0.000001107886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005069899,"about_ca_system_score_gemma":0.00004200314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002617156,"about_ca_topic_score_gemma":0.0001240227,"domain_scores_codex":[0.999056,0.00004982134,0.0003373955,0.0002001875,0.0001332478,0.0002233346],"domain_scores_gemma":[0.9994546,0.00008119112,0.00004506032,0.0003381682,0.00004786646,0.00003307362],"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":[0.00003248667,0.000002988717,0.000529161,0.0002745208,0.0003948834,0.00001102197,0.0002587973,0.7363092,0.2598998,0.0002283315,0.00005643757,0.002002321],"study_design_scores_gemma":[0.0002633973,0.000009525425,0.02003402,0.00009366789,0.0002266484,0.00000108482,0.00003803731,0.9218861,0.05668249,0.0005823211,0.00001375981,0.0001689658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978527,0.0004831366,0.0006320315,0.00001439479,0.0002053223,0.0002108385,0.0002724515,0.00008389779,0.0002451761],"genre_scores_gemma":[0.9981562,0.00001050407,0.00168876,0.00005433949,0.00001617282,0.000007364607,0.00001947112,0.00002173979,0.00002539787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2032173,"threshold_uncertainty_score":0.7367918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006757356408461409,"score_gpt":0.2420876369128589,"score_spread":0.2353302805043975,"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."}}