{"id":"W3039124853","doi":"10.1051/e3sconf/202017210003","title":"Wetting and drying performance of cross-laminated timber related to on-site moisture protections: Field measurements and hygrothermal simulations","year":2020,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; Concordia University","funders":"","keywords":"Wetting; Moisture; Cross laminated timber; Durability; Transverse plane; Environmental science; Materials science; Structural engineering; Composite material; Geotechnical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003422659,0.0004006128,0.0004486354,0.0004080458,0.0002330667,0.0003445513,0.0005264701,0.0006558141,0.001433581],"category_scores_gemma":[0.000501353,0.0002422869,0.0005077817,0.0003328092,0.0003425095,0.0003644667,0.0002246932,0.0003589253,0.000258706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425352,"about_ca_system_score_gemma":0.0001835279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004579899,"about_ca_topic_score_gemma":0.005838314,"domain_scores_codex":[0.9998751,0.00001537622,0.000008094943,0.00002729018,0.00004054503,0.00003358648],"domain_scores_gemma":[0.999643,0.000181014,0.00003937166,0.0000411017,0.00006314849,0.00003248058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005778215,0.0008162924,0.02309697,0.000251024,0.00005736724,0.0005460993,0.0002956466,0.8376511,0.1218464,0.000451224,0.0009503418,0.01345981],"study_design_scores_gemma":[0.00003159727,0.0004367764,0.01643986,0.0000202995,0.00001932209,0.00006440999,0.0001507487,0.9541886,0.02811249,0.0001101075,0.0004044805,0.00002136702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979539,0.00004327951,0.0007398851,0.00001041075,0.000004991658,0.000008571554,0.0002320254,0.00003046897,0.0009764556],"genre_scores_gemma":[0.9985201,0.00004386669,0.00075795,0.000006541215,0.000001511107,0.00001201468,0.0002387998,0.0000128002,0.0004063624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004579899,"threshold_uncertainty_score":0.009106517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306564564307228,"score_gpt":0.248669804454565,"score_spread":0.2156041588114928,"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."}}