{"id":"W4240512342","doi":"10.32920/ryerson.14661150","title":"Finite Element Modelling of the Fire Resistance of Double Skin Composite Walls Subjected to Monotonic Compressive Loading","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Fire effects on concrete materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Infill; Materials science; Fastener; Fire resistance; Composite number; Composite material; Finite element method; Structural engineering; Compressive strength; Engineering; Metallurgy","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":[0.0003041064,0.0004227768,0.0005466622,0.0005353966,0.0002767348,0.0005642548,0.0006725416,0.001214202,0.002273764],"category_scores_gemma":[0.0006838891,0.0004365135,0.0006207831,0.0003522974,0.0004957015,0.0003330412,0.000294384,0.0003955995,0.0003860549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014745,"about_ca_system_score_gemma":0.0004620785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004158339,"about_ca_topic_score_gemma":0.003650018,"domain_scores_codex":[0.9998698,0.00002756055,0.000007375899,0.00002083578,0.00005188487,0.00002251807],"domain_scores_gemma":[0.9997209,0.0001397426,0.00004072952,0.00003110461,0.00004872296,0.00001879876],"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":[0.00006548427,0.0000312761,0.0008081571,0.00005773837,0.00001787432,0.0001035946,0.00005575904,0.9723595,0.02265057,0.0005205049,0.00008374838,0.003245674],"study_design_scores_gemma":[0.000003370707,0.00003354556,0.00066214,0.000007215874,0.000005304895,0.00002347024,0.0000222458,0.9949664,0.003902361,0.0001072547,0.0002614105,0.000005259136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8066877,0.0002745214,0.1760041,0.00009737294,0.00005351951,0.00007661996,0.0004576354,0.0004933827,0.01585508],"genre_scores_gemma":[0.9791793,0.0001367789,0.01502065,0.00001198987,0.000004130348,0.00006590042,0.0002390022,0.00006209379,0.005280328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004158339,"threshold_uncertainty_score":0.008268297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702956579176047,"score_gpt":0.2212252067348805,"score_spread":0.20419564094312,"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."}}