{"id":"W4293671332","doi":"10.1016/j.apnum.2022.08.015","title":"3-additive linear multi-step methods for diffusion-reaction-advection models","year":2022,"lang":"en","type":"article","venue":"Applied Numerical Mathematics","topic":"Differential Equations and Numerical Methods","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Agencia Estatal de Investigación; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Advection; Reaction–diffusion system; Convergence (economics); Stability (learning theory); Diffusion; Applied mathematics; Work (physics); Numerical analysis; Mathematical analysis; Computer science; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001357977,0.001052906,0.000894764,0.0008520587,0.0005817655,0.001437742,0.002127296,0.00219216,0.004057828],"category_scores_gemma":[0.003185457,0.0004880443,0.001684511,0.0005811717,0.0008689024,0.001354824,0.002458301,0.002426443,0.001192178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008129818,"about_ca_system_score_gemma":0.001411109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004829204,"about_ca_topic_score_gemma":0.005481424,"domain_scores_codex":[0.9994874,0.0002095016,0.0000384813,0.00005337139,0.0001622402,0.00004891393],"domain_scores_gemma":[0.9986662,0.0006684854,0.0001182551,0.0001081796,0.0003529514,0.00008599766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001118493,0.000155273,0.0007896718,0.0004738688,0.0001287724,0.0001710711,0.0002144027,0.678398,0.006430741,0.2504092,0.003128937,0.05958821],"study_design_scores_gemma":[0.000004062602,0.000008325813,0.00003538951,0.00001256478,0.000007337421,0.000008567931,0.000005705034,0.9877071,0.0004562109,0.009952637,0.001795175,0.000006950389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003985442,0.0007170339,0.9903135,0.0002737087,0.0002621364,0.00004374806,0.00007711972,0.0001615276,0.004165844],"genre_scores_gemma":[0.3642855,0.001827373,0.5873779,0.0007112761,0.0004284296,0.0007128162,0.0004380156,0.0005484733,0.0436701],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004829204,"threshold_uncertainty_score":0.01357478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1242596664913677,"score_gpt":0.4187058809445142,"score_spread":0.2944462144531465,"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."}}