{"id":"W2040504128","doi":"10.1260/2040-2317.3.2.133","title":"Fire Performance of Timber Connections, Part 2: Thermal and Structural Modelling","year":2012,"lang":"en","type":"article","venue":"Journal of Structural Fire Engineering","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Embedment; Parametric statistics; Residual strength; Structural engineering; Fire resistance; Heat transfer; Residual; Thermal; Engineering; Finite element method; Bearing capacity; Fire performance; Materials science; Computer science; Composite material; Mathematics; Mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003060154,0.0006252996,0.0003607988,0.0003606371,0.0002455558,0.0004026954,0.0008310901,0.0006665086,0.001655984],"category_scores_gemma":[0.0007534713,0.0003291339,0.0005765906,0.0002694298,0.0003345119,0.000665493,0.0001979357,0.0003450702,0.0005407907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003709787,"about_ca_system_score_gemma":0.0002442254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260944,"about_ca_topic_score_gemma":0.002133215,"domain_scores_codex":[0.9998575,0.00002238028,0.000007999976,0.00002343283,0.00007320005,0.00001544763],"domain_scores_gemma":[0.9998273,0.00008051163,0.00003114298,0.00002473523,0.00002838585,0.000008014854],"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":[0.00003161906,0.00002677416,0.001675989,0.00004426049,0.000008344948,0.00006304317,0.00005998675,0.9697743,0.0179128,0.0008764422,0.00007665408,0.009449755],"study_design_scores_gemma":[0.00000321158,0.00005414051,0.002241418,0.00001098696,0.000007660076,0.00006412836,0.00001591056,0.98879,0.007880734,0.0004853841,0.0004374849,0.000008879626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6845947,0.0006495748,0.2998685,0.00005237788,0.00003258099,0.00009214265,0.0002552021,0.00055558,0.01389931],"genre_scores_gemma":[0.9889669,0.0002339595,0.008563676,0.00000444435,0.000005274848,0.00004870788,0.0001112969,0.00005173447,0.002013985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002260944,"threshold_uncertainty_score":0.005539834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153791323032832,"score_gpt":0.1836045653962939,"score_spread":0.1720666521659655,"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."}}