{"id":"W1991663476","doi":"10.2298/tsci140109055k","title":"Computational analysis of heat and mass transfer during microwave drying of timber","year":2014,"lang":"en","type":"article","venue":"Thermal Science","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Microwave; Mass transfer; Materials science; Microwave heating; Water content; Microwave irradiation; Heat transfer; Moisture; Finite element method; Microwave oven; Internal heating; Process (computing); Sample (material); Nuclear engineering; Environmental science; Mechanics; Thermodynamics; Composite material; Computer science; Geotechnical engineering; Geology","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":[0.0002826448,0.0002401597,0.0003898411,0.0003129931,0.0005061525,0.0004917525,0.0004817882,0.0006561542,0.001370865],"category_scores_gemma":[0.0007984412,0.0002199358,0.0003880546,0.0003550241,0.0004346046,0.0003876579,0.0002198133,0.0003097872,0.0001618174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006272875,"about_ca_system_score_gemma":0.0006432962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006627723,"about_ca_topic_score_gemma":0.004056971,"domain_scores_codex":[0.9999335,0.00001561069,0.000003392652,0.000009386209,0.00002302649,0.00001516698],"domain_scores_gemma":[0.9996234,0.0002962642,0.00002081409,0.00001498092,0.00003078426,0.00001367793],"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":[0.00007661725,0.00003600583,0.0008667254,0.00004613414,0.000006757107,0.00007973698,0.00003581358,0.9876177,0.006411136,0.001088884,0.0001389389,0.003595608],"study_design_scores_gemma":[0.000003887064,0.00001159534,0.0002759334,0.000001233841,0.000001463206,0.000006959966,0.000007497259,0.9983276,0.001150477,0.0001186325,0.00009237184,0.000002367497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9321914,0.0002616647,0.05488307,0.0002197233,0.00003144911,0.00005975334,0.0003055366,0.0002269085,0.01182042],"genre_scores_gemma":[0.9890294,0.00009927837,0.008615335,0.0000236003,0.0000081541,0.00007026262,0.0001083398,0.00003697678,0.00200863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006627723,"threshold_uncertainty_score":0.01317829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007525038586134447,"score_gpt":0.1898756972449731,"score_spread":0.1823506586588386,"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."}}