{"id":"W2092112583","doi":"10.1016/j.icheatmasstransfer.2014.12.014","title":"Some investigations on moisture injection, moisture diffusivity and thermal conductivity using a three-dimensional computation of wood heat treatment at high temperature","year":2015,"lang":"en","type":"article","venue":"International Communications in Heat and Mass Transfer","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Canada Economic Development for Quebec Regions; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Thermal diffusivity; Materials science; Thermal conductivity; Moisture; Mechanics; Heat transfer; Thermodynamics; Water content; Wood drying; Composite material; Physics","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":[0.0003268992,0.0004147951,0.0005500251,0.0004410328,0.0007440716,0.0006590258,0.0006006254,0.0008328647,0.001887344],"category_scores_gemma":[0.001736469,0.0003972801,0.0006849803,0.0007415843,0.0008526609,0.0009105752,0.000211747,0.0007193671,0.000100293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003280631,"about_ca_system_score_gemma":0.0003038238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003786907,"about_ca_topic_score_gemma":0.003275438,"domain_scores_codex":[0.9999013,0.00002612628,0.000007501404,0.00001854357,0.00003057581,0.00001590631],"domain_scores_gemma":[0.9989107,0.0008482597,0.00005538077,0.00007616432,0.0000839175,0.00002564651],"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":[0.0003630217,0.0003760626,0.007245392,0.0004432518,0.00006736135,0.0005350733,0.0004164335,0.8818181,0.08633681,0.005126967,0.0004481154,0.01682343],"study_design_scores_gemma":[0.00001855439,0.00006635785,0.002931085,0.000008844777,0.00001640437,0.0000399884,0.00007371404,0.9790722,0.01680354,0.000587467,0.0003617718,0.00002010996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967265,0.0005695659,0.02328604,0.0002216288,0.00003830208,0.00003827586,0.0002207871,0.0002942602,0.008066219],"genre_scores_gemma":[0.9920571,0.0001875735,0.007021155,0.00001733985,0.00001161327,0.00001650747,0.00006469464,0.00005379403,0.0005702399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003786907,"threshold_uncertainty_score":0.007529736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05267025253189542,"score_gpt":0.2664714479629136,"score_spread":0.2138011954310181,"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."}}