{"id":"W7010560537","doi":"","title":"Implicit Navier-Stokes computations of unsteady flows using subiteration methods","year":2008,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Computation; Flow (mathematics); Work (physics); Stability (learning theory)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004598261,0.0005943154,0.0007800697,0.0004255966,0.0006976537,0.001010905,0.001074919,0.0006930081,0.00355017],"category_scores_gemma":[0.002716743,0.0004286994,0.0004676772,0.0004716725,0.0007874945,0.0009721813,0.001257099,0.001745476,0.0006707694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008369504,"about_ca_system_score_gemma":0.001462969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022653,"about_ca_topic_score_gemma":0.01505513,"domain_scores_codex":[0.9998,0.00005567235,0.00001213027,0.00001967731,0.0000837204,0.00002880135],"domain_scores_gemma":[0.999199,0.0004282516,0.00005506282,0.00008481117,0.000172409,0.00006053688],"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":[0.000202581,0.0001447679,0.001138719,0.0002120382,0.00005584962,0.0001158985,0.0004436159,0.7929315,0.01331247,0.07519712,0.00378319,0.1124622],"study_design_scores_gemma":[0.0000140338,0.000006966178,0.00007678089,0.000005686572,0.000002309155,0.000006023684,0.000008051115,0.9924349,0.001692951,0.004190459,0.001557543,0.000004234616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1182827,0.0003295482,0.8684382,0.0005090262,0.000256705,0.00006757645,0.0001889578,0.0007708098,0.01115651],"genre_scores_gemma":[0.4736187,0.0003094652,0.504814,0.0001203893,0.0001284113,0.0001962956,0.0003152392,0.0008481615,0.01964947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01022653,"threshold_uncertainty_score":0.02033401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949840241608743,"score_gpt":0.323629798576954,"score_spread":0.2941313961608665,"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."}}