{"id":"W3045280464","doi":"10.1016/j.conbuildmat.2020.120129","title":"Mechanical performance of laminated veneer lumber and Glulam beams after short-term incident heat exposure","year":2020,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laminated veneer lumber; Materials science; Composite material; Flexural strength; Adhesive; Structural engineering; Char; Bending; Allowance (engineering); Fire performance; Veneer; Layer (electronics); Waste management; Engineering; Fire resistance; Mechanical engineering","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":[0.0003113651,0.0002748668,0.0002803849,0.0003121432,0.0004276696,0.0002284302,0.0002533826,0.0004368142,0.00546368],"category_scores_gemma":[0.0004543605,0.0002086747,0.0003336994,0.0003123233,0.0003992361,0.0002761782,0.0002009043,0.0003527141,0.0004796137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002200352,"about_ca_system_score_gemma":0.0001557109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213786,"about_ca_topic_score_gemma":0.004003509,"domain_scores_codex":[0.9998302,0.00002261853,0.000009017765,0.00002943043,0.00004653097,0.00006216961],"domain_scores_gemma":[0.9996685,0.0001229992,0.00004459066,0.00003000632,0.00009060495,0.00004339726],"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":[0.001878441,0.0001190285,0.006106509,0.00006611548,0.00002529613,0.0001358635,0.0003288339,0.001251082,0.9851564,0.00004849208,0.0001206545,0.004763364],"study_design_scores_gemma":[0.00002633851,0.002456103,0.1708177,0.00001970694,0.00006753037,0.0001021389,0.0006929766,0.002550178,0.8222662,0.00004421247,0.0009253185,0.00003150176],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999398,0.00007266122,0.0001649463,0.000004133292,0.000007515087,0.000002623175,0.00005764406,0.000007925586,0.0002846664],"genre_scores_gemma":[0.9985719,0.00003597152,0.0001032773,0.000008670584,0.000002079101,0.000004991187,0.00008273478,0.000004794744,0.001185606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00546368,"threshold_uncertainty_score":0.01827788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009905769051002437,"score_gpt":0.1924451794498575,"score_spread":0.182539410398855,"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."}}