{"id":"W2081993267","doi":"10.1016/j.cam.2014.10.017","title":"A novel <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si8.gif\" display=\"inline\" overflow=\"scroll\"><mml:msup><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msup></mml:math> analysis for finite volume approximations of the Stokes problem","year":2014,"lang":"lv","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Baoji University of Arts And Sciences","keywords":"Mathematics; Logarithm; Scroll; Norm (philosophy); Volume (thermodynamics); Finite volume method; Approximations of π; Numerical analysis; Algorithm; Applied mathematics; Mathematical analysis; Thermodynamics; Physics; Theology; Law","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":[0.001237913,0.0008884664,0.0009181914,0.001571607,0.001077955,0.003034026,0.00282272,0.001498629,0.03119114],"category_scores_gemma":[0.004161456,0.0007195755,0.001338524,0.001335849,0.0009331133,0.003093672,0.003838047,0.002719433,0.01594483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007624657,"about_ca_system_score_gemma":0.001269092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379807,"about_ca_topic_score_gemma":0.002537672,"domain_scores_codex":[0.9985991,0.0002661239,0.000133763,0.0002016825,0.0007321254,0.0000671541],"domain_scores_gemma":[0.9983172,0.0004871956,0.00007989407,0.0004884948,0.0004844673,0.0001427832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003673029,0.0003616633,0.001071378,0.0008224905,0.0001281223,0.0005546918,0.0006147876,0.02238816,0.08261335,0.5259203,0.09480669,0.270351],"study_design_scores_gemma":[0.0001513426,0.0001433252,0.0006503928,0.0001849846,0.0000613501,0.0008829316,0.0001595683,0.3422394,0.02636594,0.1629084,0.4661297,0.0001227118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001459294,0.000215872,0.977307,0.0006060269,0.0006386755,0.0001036684,0.0004887177,0.002948046,0.01623266],"genre_scores_gemma":[0.03504145,0.0007801872,0.9253175,0.0009516643,0.0007466744,0.0005141238,0.001993841,0.005211929,0.02944267],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03119114,"threshold_uncertainty_score":0.1043448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127132924487627,"score_gpt":0.2567182146207624,"score_spread":0.2354468853758861,"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."}}