{"id":"W2954886382","doi":"10.1016/j.cam.2019.06.041","title":"Least squares spectral method for the two-dimensional Stokes interface problems","year":2019,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Mathematical analysis; Tensor product; Norm (philosophy); Stokes flow; Spectral method; Numerical analysis; Legendre polynomials; Convergence (economics); Applied mathematics; Geometry; 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":[0.000864075,0.0006287001,0.0008688643,0.0006246977,0.0004667733,0.0009512623,0.001401522,0.001622667,0.003640536],"category_scores_gemma":[0.003204374,0.0004377901,0.000618073,0.0005013659,0.000940566,0.001291387,0.001620823,0.001559356,0.001288381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003476778,"about_ca_system_score_gemma":0.001669261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002441644,"about_ca_topic_score_gemma":0.002227983,"domain_scores_codex":[0.9995541,0.0001857103,0.00001617109,0.00004465449,0.0001690078,0.00003035876],"domain_scores_gemma":[0.99864,0.0007370628,0.00008841664,0.0001016931,0.0003730543,0.00005966211],"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":[0.000309651,0.0002991881,0.001379727,0.0005266702,0.0001434343,0.0001878924,0.0003043532,0.6006656,0.03132867,0.1219354,0.008240289,0.2346791],"study_design_scores_gemma":[0.00001055254,0.00001132837,0.00006089868,0.000007434652,0.000003668302,0.00001711406,0.00001503816,0.9917656,0.001115606,0.006142287,0.0008415852,0.000008833229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004260159,0.00008636736,0.994419,0.0001214588,0.00003672503,0.00001907691,0.00002894663,0.000145541,0.0008827484],"genre_scores_gemma":[0.1841693,0.0003767281,0.8037884,0.0002274703,0.0001155089,0.0003535076,0.0002421416,0.0004935892,0.01023343],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003640536,"threshold_uncertainty_score":0.01217878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074473425097201,"score_gpt":0.3095234758322801,"score_spread":0.2887787415813081,"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."}}