{"id":"W2025711035","doi":"10.1088/0965-0393/11/1/305","title":"Contaminant transport in a thin layer: the influence of fuzzy orthotropic diffusivity","year":2002,"lang":"en","type":"article","venue":"Modelling and Simulation in Materials Science and Engineering","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Killam Trusts; McGill University","keywords":"Orthotropic material; Thermal diffusivity; Materials science; Diffusion; Porous medium; Thermodynamics; Porosity; Mechanics; Composite material; Physics; Finite element method","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007999483,0.0003445057,0.00048515,0.0004377361,0.0003674573,0.001274072,0.0002580116,0.0005467192,0.0002115428],"category_scores_gemma":[0.002423663,0.0002098583,0.000457665,0.0002389829,0.001055101,0.001114653,0.0005764842,0.0004434591,0.00003598696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005961118,"about_ca_system_score_gemma":0.0003619855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002853173,"about_ca_topic_score_gemma":0.00123537,"domain_scores_codex":[0.9997876,0.00007051053,0.00001436383,0.00003880312,0.00006259548,0.00002605143],"domain_scores_gemma":[0.9983449,0.0009287178,0.0003945345,0.0000760556,0.0001839499,0.00007179486],"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":[0.0005481048,0.00009534968,0.006692234,0.0002474288,0.0001320838,0.001363732,0.0004007461,0.7163258,0.1983693,0.05500866,0.0003261358,0.02049051],"study_design_scores_gemma":[0.00002523424,0.00008352778,0.002083597,0.00001549456,0.00006417448,0.0002512231,0.0001663841,0.9681294,0.01747218,0.0112775,0.0003845409,0.00004677345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8763555,0.001271446,0.1196271,0.0004652566,0.00003135966,0.00001181655,0.00002948092,0.00003602322,0.002172055],"genre_scores_gemma":[0.9928815,0.0004897311,0.006304268,0.00002580736,0.00001216535,0.00000421304,0.00000752735,0.000004470606,0.0002701808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002853173,"threshold_uncertainty_score":0.00567311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06021175209285438,"score_gpt":0.2887562231299456,"score_spread":0.2285444710370912,"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."}}