{"id":"W1989867921","doi":"10.1137/130939717","title":"A New Error Analysis of Characteristics-Mixed FEMs for Miscible Displacement in Porous Media","year":2014,"lang":"en","type":"article","venue":"SIAM Journal on Numerical Analysis","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Discretization; Mathematics; Bounded function; Computation; Porous medium; Finite element method; Norm (philosophy); Applied mathematics; Numerical analysis; Stability (learning theory); Error analysis; Displacement (psychology); Mathematical analysis; Algorithm; Computer science; Porosity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006976417,0.000260029,0.001294903,0.001309939,0.00005538918,0.00003828753,0.0002957134,0.0000827308,0.0002390117],"category_scores_gemma":[0.0009939007,0.0002210368,0.000693906,0.004127949,0.00003069739,0.00008196163,0.00002925919,0.0003029255,0.000007326345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721198,"about_ca_system_score_gemma":0.00002466065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008538426,"about_ca_topic_score_gemma":0.00001150071,"domain_scores_codex":[0.9976122,0.0001383886,0.001092862,0.000257783,0.0005427684,0.0003559744],"domain_scores_gemma":[0.9968745,0.002045611,0.0003800695,0.0002810548,0.0001288428,0.0002899428],"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":[0.00007659799,0.0001393986,0.002447726,0.00004111297,0.003848196,0.00000468786,0.0001912831,0.9544339,0.0001831985,0.0009499611,0.0001663042,0.03751768],"study_design_scores_gemma":[0.0004871951,0.0001544758,0.0182808,0.00003083235,0.003577865,0.000002642779,0.00005219849,0.9662865,0.000153846,0.009951458,0.0007518257,0.0002703166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04320824,0.00006454809,0.9560009,0.0001898944,0.0002329567,0.0001002768,0.00003276486,0.00003690677,0.0001335069],"genre_scores_gemma":[0.6840866,0.00002499397,0.3155622,0.00007248804,0.0001352263,0.00001192996,0.000036994,0.00002921176,0.00004038725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6408783,"threshold_uncertainty_score":0.901362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02452160670055136,"score_gpt":0.3144264233184804,"score_spread":0.289904816617929,"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."}}