{"id":"W2033139498","doi":"10.1002/num.21726","title":"A high‐order ADI finite difference scheme for a 3D reaction‐diffusion equation with neumann boundary condition","year":2012,"lang":"en","type":"article","venue":"Numerical Methods for Partial Differential Equations","topic":"Differential Equations and Numerical Methods","field":"Mathematics","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematics; Compact finite difference; Neumann boundary condition; Alternating direction implicit method; Richardson extrapolation; Boundary value problem; Partial differential equation; Mathematical analysis; Von Neumann stability analysis; Boundary (topology); Extrapolation; Reaction–diffusion system; Von Neumann architecture; Finite difference method; Pure mathematics","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":[0.001073709,0.0005580367,0.0009565359,0.0005805502,0.0006633075,0.0008669664,0.001530081,0.001656988,0.001915589],"category_scores_gemma":[0.001677359,0.0004159243,0.0008890854,0.0004396331,0.001270853,0.0007691625,0.00125985,0.001614111,0.000392737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043563,"about_ca_system_score_gemma":0.001258374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004887564,"about_ca_topic_score_gemma":0.002991121,"domain_scores_codex":[0.9996536,0.00009683375,0.00002644603,0.0000430773,0.0001530083,0.00002706894],"domain_scores_gemma":[0.9992849,0.0003224789,0.00007874941,0.00007312011,0.0001854028,0.00005542652],"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":[0.000145734,0.0001447991,0.001349561,0.0002873357,0.00003983397,0.0002862638,0.0003568737,0.839574,0.02944924,0.08049369,0.001077934,0.04679475],"study_design_scores_gemma":[0.000006742471,0.00001195113,0.00003915941,0.000004907648,0.000002195935,0.00001489293,0.000005104529,0.9970846,0.0008946714,0.00111901,0.0008105786,0.000006279384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03826943,0.0003920997,0.9550131,0.0003042539,0.0002984047,0.0001000084,0.00006291756,0.000177442,0.005382181],"genre_scores_gemma":[0.4487144,0.0003619018,0.5419189,0.0001693323,0.00008601858,0.0003876851,0.0001564506,0.00009954892,0.008105699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004887564,"threshold_uncertainty_score":0.00971818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155583038939746,"score_gpt":0.4229341497908595,"score_spread":0.3073758458968849,"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."}}