{"id":"W4409711696","doi":"10.1093/imanum/draf013","title":"Space-time hybridizable discontinuous Galerkin method for advection-diffusion: the advection-dominated regime","year":2025,"lang":"en","type":"article","venue":"IMA Journal of Numerical Analysis","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; University of Waterloo","keywords":"Advection; Mathematics; Discontinuous Galerkin method; Diffusion; Space (punctuation); Convection–diffusion equation; Galerkin method; Mathematical analysis; Physics; Finite element method; 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":[0.0007490888,0.0006958758,0.000431541,0.0003563112,0.0003978276,0.0008852404,0.0006522114,0.001039561,0.001171723],"category_scores_gemma":[0.001166787,0.0001551864,0.0003970289,0.000225241,0.00133525,0.0006698205,0.0008588057,0.0008421471,0.000113581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004253063,"about_ca_system_score_gemma":0.0005300036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854037,"about_ca_topic_score_gemma":0.0008178058,"domain_scores_codex":[0.9998031,0.00007564692,0.000007991077,0.00002547744,0.00007162939,0.00001617938],"domain_scores_gemma":[0.9995005,0.0002742874,0.00005448241,0.00002762082,0.0001097295,0.00003335306],"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":[0.0001388852,0.0001079675,0.001116022,0.000198688,0.00005093894,0.0001898906,0.0001977186,0.8694749,0.0403398,0.07085172,0.0003164212,0.01701703],"study_design_scores_gemma":[0.000003980259,0.00002072548,0.00003517469,0.000002951056,0.000002389168,0.000007338734,0.000005138705,0.9968765,0.001130653,0.001710717,0.0002015084,0.000002909863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06296957,0.000302466,0.9327033,0.0002417133,0.00007980358,0.00005545299,0.00001657224,0.00007436597,0.003556839],"genre_scores_gemma":[0.9279975,0.0002512443,0.06649046,0.00008883576,0.00003937355,0.0001509921,0.00002699426,0.00003358817,0.004920953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001854037,"threshold_uncertainty_score":0.003961563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007959221532780988,"score_gpt":0.3019326636389356,"score_spread":0.2939734421061546,"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."}}