{"id":"W762793979","doi":"","title":"COMPARISON OF THE 1D AND 3D MODELS FOR THE SIMULATION OF WOOD HEAT TREATMENT PROCESS","year":2012,"lang":"en","type":"article","venue":"Constellation (Université du Québec à Chicoutimi)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Diffusion; Range (aeronautics); Parametric statistics; Durability; Process (computing); Pulp and paper industry; Process engineering; Environmental science; Materials science; Thermodynamics; Mathematics; Computer science; Composite material; Engineering; Physics; Statistics","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":[0.0005186512,0.0009070734,0.001098304,0.0008350576,0.0008441061,0.00177456,0.001490403,0.002366515,0.009215132],"category_scores_gemma":[0.001958675,0.0007140437,0.001298939,0.0009267415,0.0005050226,0.0007947853,0.0006410354,0.0009454573,0.0009646018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358826,"about_ca_system_score_gemma":0.001530153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04731008,"about_ca_topic_score_gemma":0.03499676,"domain_scores_codex":[0.9997452,0.00007596474,0.00001910862,0.00003116062,0.00008850925,0.00004008967],"domain_scores_gemma":[0.9986202,0.0008179302,0.00007230858,0.0001333444,0.0002609396,0.00009540647],"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":[0.00004723324,0.00005759361,0.0007092616,0.00003756172,0.00001526417,0.00002811282,0.00003079687,0.9941384,0.0004935872,0.001057829,0.0004189578,0.002965528],"study_design_scores_gemma":[0.000009117455,0.00001183848,0.0001487244,0.00000372111,0.000004193856,0.00000526483,0.000007728038,0.9990346,0.0001931809,0.0001954974,0.0003800986,0.000006049966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.611137,0.002222862,0.2910904,0.002046119,0.0008172259,0.0004828342,0.00742394,0.004068967,0.08071072],"genre_scores_gemma":[0.9514273,0.000747193,0.03776643,0.0002116102,0.00007141779,0.0003638497,0.001529548,0.0005226689,0.00735999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04731008,"threshold_uncertainty_score":0.09406942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833660099881779,"score_gpt":0.2239209219127404,"score_spread":0.1955843209139226,"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."}}