{"id":"W3107029316","doi":"10.1016/j.jcp.2020.110025","title":"A new norm and stability condition for tensor product flux reconstruction schemes","year":2020,"lang":"en","type":"article","venue":"Journal of Computational Physics","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Tensor product; Norm (philosophy); Stability (learning theory); Mathematics; Applied mathematics; Tensor (intrinsic definition); Mathematical analysis; Computer science; Pure mathematics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007468863,0.00009447033,0.0001662153,0.00002776095,0.00004371745,0.00004016203,0.00005095962,0.00002108434,0.000008213708],"category_scores_gemma":[0.00003640878,0.00009570494,0.00007430626,0.0001097632,0.00002208435,0.0002564598,0.00000989301,0.0001132273,0.000001475293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004534925,"about_ca_system_score_gemma":0.00009764708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.459473e-7,"about_ca_topic_score_gemma":3.111834e-7,"domain_scores_codex":[0.9993415,0.00000887078,0.0003074596,0.00009215774,0.0001719404,0.00007802201],"domain_scores_gemma":[0.9992847,0.0001221912,0.0001097081,0.00003094459,0.0003550655,0.00009732351],"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":[0.00004478503,0.00001717246,0.0003543927,0.00009920778,0.00008124645,7.404677e-7,0.0001883618,0.9280005,0.002176174,0.01025938,0.0008247207,0.05795339],"study_design_scores_gemma":[0.0005650967,0.00008960942,0.002715336,0.00001948807,0.00002475296,0.00003461753,0.00002764545,0.9260573,0.0003208615,0.06966905,0.0003750167,0.0001012208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4127757,0.00006210277,0.586462,0.000386596,0.0001581737,0.00008449148,0.00002656723,0.00001844633,0.00002598046],"genre_scores_gemma":[0.8959675,0.000006899713,0.1032075,0.00006647134,0.0006884121,0.000001230063,0.00004471961,0.00001420803,0.00000309048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4832545,"threshold_uncertainty_score":0.3902734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372695559159329,"score_gpt":0.2237494738575672,"score_spread":0.210022518265974,"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."}}