{"id":"W4380451066","doi":"10.52202/069179-0304","title":"PREDICTIVE CAPABILITIES OF FINITE ELEMENT MODELLING FOR TIMBER MEMBERS SUBJECTED TO BLAST LOADS","year":2023,"lang":"en","type":"article","venue":"","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University; Canadian Wood Council","funders":"","keywords":"Subroutine; Finite element method; Structural engineering; Displacement (psychology); Computer science; Experimental data; Engineering; Mathematics","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":[0.0008649951,0.0007068992,0.0005451065,0.0005040456,0.0004754954,0.000767092,0.001297199,0.001225965,0.003273354],"category_scores_gemma":[0.002354037,0.0005265589,0.0005097975,0.0003519301,0.0005699676,0.0006201424,0.0006348796,0.0007265719,0.0007644143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004388659,"about_ca_system_score_gemma":0.0006657604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006263857,"about_ca_topic_score_gemma":0.004463343,"domain_scores_codex":[0.9997689,0.00005878144,0.00001546013,0.00002228302,0.0001110313,0.00002345237],"domain_scores_gemma":[0.9989702,0.0006626084,0.00008559135,0.0001339879,0.0001211744,0.0000264652],"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":[0.00002527537,0.00002592972,0.000603848,0.00002685863,0.000005985699,0.00003641525,0.00004939808,0.9893427,0.002340133,0.000710067,0.00008926064,0.006744124],"study_design_scores_gemma":[0.000002006496,0.00001011414,0.0001284988,0.000005042368,0.000001701858,0.000008293132,0.000006755681,0.9987295,0.0006914269,0.0002468602,0.0001659126,0.000003887583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3301461,0.0002929146,0.6525477,0.0002376198,0.00005391303,0.0002004456,0.00042425,0.003090929,0.01300612],"genre_scores_gemma":[0.9533709,0.0001931792,0.04289827,0.00003234389,0.00001034439,0.0001693837,0.0002522152,0.0001531919,0.002920133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006263857,"threshold_uncertainty_score":0.01245481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221251285871447,"score_gpt":0.2151902802252524,"score_spread":0.1929777673665379,"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."}}