{"id":"W2750217439","doi":"10.5430/jbar.v6n2p35","title":"Numerical Simulation of Heat and Moisture Coupling of Porous Fabrics","year":2017,"lang":"en","type":"article","venue":"Journal of Business Administration Research","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moisture; Computer simulation; Heat transfer; Coupling (piping); Porosity; Materials science; Mechanics; Environmental science; Physics; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002326143,0.000319301,0.0003789058,0.0003383025,0.0004500858,0.0004885796,0.0004889838,0.0008644842,0.001177742],"category_scores_gemma":[0.0009477039,0.0002270434,0.0004827361,0.0003275612,0.0007327876,0.0005217266,0.0005322209,0.0003582125,0.00009282301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025064,"about_ca_system_score_gemma":0.0004477493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003981633,"about_ca_topic_score_gemma":0.001336943,"domain_scores_codex":[0.999855,0.00003466992,0.00000799236,0.00002228311,0.00004228544,0.00003765955],"domain_scores_gemma":[0.9996734,0.0001859453,0.0000527407,0.00002614028,0.00003406463,0.00002765987],"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":[0.0000509718,0.00003228623,0.001218211,0.0000463156,0.00001582858,0.0001464077,0.0000544523,0.9821674,0.009115236,0.004605218,0.00009930777,0.00244843],"study_design_scores_gemma":[0.000006492359,0.00001182259,0.0002316819,0.000002381813,0.000002182821,0.00001650532,0.00001074951,0.9980609,0.001128584,0.0003573962,0.000167794,0.000003560363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8037844,0.0005436693,0.1759462,0.0003292534,0.0001449028,0.00006116758,0.0002700443,0.0004278387,0.01849252],"genre_scores_gemma":[0.9875998,0.0001320997,0.01057288,0.00001864596,0.00001242395,0.00002811289,0.00004617975,0.00001836714,0.001571299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003981633,"threshold_uncertainty_score":0.007916868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1425578151309073,"score_gpt":0.4353851410440758,"score_spread":0.2928273259131684,"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."}}