{"id":"W4394745306","doi":"10.62913/engj.v38i4.766","title":"The Effects of a Severe Fire on the Steel Frame of an Office Building","year":2001,"lang":"en","type":"article","venue":"Engineering Journal","topic":"Fire effects on concrete materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Steel frame; Structural engineering; Residual; Frame (networking); Yield (engineering); Engineering; Forensic engineering; Computer science; Materials science; Composite material; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006080031,0.0001767173,0.0002292152,0.00005880383,0.00009130637,0.00007033816,0.0003766724,0.00007435278,0.0000232356],"category_scores_gemma":[0.000552613,0.0001104136,0.00008620445,0.0001668431,0.00002563518,0.0001102644,0.00002604187,0.0003826075,0.000004405422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004864325,"about_ca_system_score_gemma":0.00001388881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004670652,"about_ca_topic_score_gemma":4.076583e-7,"domain_scores_codex":[0.999004,0.00006755519,0.000313291,0.00008084813,0.0002600497,0.0002742343],"domain_scores_gemma":[0.9981605,0.001332906,0.00008681008,0.0003020623,0.00004400431,0.00007365104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004763312,0.00001369434,0.00003610277,0.000287333,0.0001605244,0.00004684197,0.0002911923,0.4826758,0.5074548,0.0005539265,0.0004604341,0.007971809],"study_design_scores_gemma":[0.00149286,0.001044454,0.01328451,0.002868659,0.0001128344,0.000942382,0.0001175445,0.4782632,0.4938486,0.0001124922,0.00716015,0.000752298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958415,0.0007428842,0.001659451,0.00004433547,0.001328671,0.0001569835,0.000002594682,0.00009356541,0.0001300054],"genre_scores_gemma":[0.9986337,0.00013392,0.0008468696,0.00001345297,0.0002933398,0.000007528521,3.441828e-7,0.0000510167,0.0000197937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01360617,"threshold_uncertainty_score":0.4502537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00346467895841148,"score_gpt":0.1866634867251302,"score_spread":0.1831988077667187,"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."}}