{"id":"W3120995917","doi":"","title":"A finite difference non-overlapping non-matching domain decomposition algorithm for heat equation","year":2006,"lang":"en","type":"article","venue":"Dynamics of Continuous Discrete and Impulsive Systems-series B-applications & Algorithms","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Domain decomposition methods; Matching (statistics); Algorithm; Heat equation; Domain (mathematical analysis); Decomposition; Mathematics; Finite difference; Applied mathematics; Computer science; Mathematical analysis; Finite element method; Physics; Chemistry; Statistics; Thermodynamics","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":[0.0007501285,0.0004014962,0.0008618154,0.00037494,0.0003685976,0.000669785,0.001198068,0.001096678,0.003337392],"category_scores_gemma":[0.001809584,0.0003745168,0.0005457709,0.0004321157,0.0005574543,0.000902749,0.001053249,0.00129051,0.0008971581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000424912,"about_ca_system_score_gemma":0.0009015245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002160815,"about_ca_topic_score_gemma":0.001948394,"domain_scores_codex":[0.9998196,0.00005793236,0.00001263099,0.00003293403,0.00006055692,0.0000164203],"domain_scores_gemma":[0.9994082,0.0003148148,0.00003080777,0.00005055671,0.0001530828,0.00004238561],"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":[0.0003053055,0.0002232854,0.0006242712,0.000276664,0.00006454537,0.00009366162,0.0001504714,0.573504,0.01919735,0.06591142,0.004131599,0.3355175],"study_design_scores_gemma":[0.000008314994,0.00001179899,0.00002482176,0.000003546682,0.000002166693,0.000007649305,0.000003906752,0.9961932,0.000488346,0.002587236,0.0006658917,0.000003133918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003086012,0.00007008943,0.9960493,0.0000455324,0.00004447162,0.00002007749,0.00001683848,0.00008401016,0.000583661],"genre_scores_gemma":[0.0958626,0.000142869,0.8999595,0.00008454738,0.00003629145,0.0001789308,0.0001179939,0.0001213421,0.003495808],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003337392,"threshold_uncertainty_score":0.01116467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005272949140748471,"score_gpt":0.2419549123959606,"score_spread":0.2366819632552121,"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."}}