{"id":"W3198972503","doi":"10.1016/j.compfluid.2021.105160","title":"Vorticity-based polynomial adaptation for moving and deforming domains","year":2021,"lang":"en","type":"article","venue":"Computers & Fluids","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University; Compute Canada","keywords":"Airfoil; Vorticity; NACA airfoil; Stall (fluid mechanics); Vortex; Mathematics; Discretization; Computer science; Geometry; Mathematical analysis; Mechanics; Physics; Reynolds number; Turbulence","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":[0.0004190385,0.0003546386,0.0003728461,0.0003363542,0.0001969208,0.0004544694,0.0008704728,0.0003288306,0.001032059],"category_scores_gemma":[0.002355,0.0001837499,0.0003158669,0.0002843219,0.0005604065,0.0007761802,0.001073642,0.000952111,0.0002925664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774606,"about_ca_system_score_gemma":0.0004329465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007696262,"about_ca_topic_score_gemma":0.0008450795,"domain_scores_codex":[0.9997105,0.00005902134,0.00001795853,0.00004106709,0.0001406714,0.00003079655],"domain_scores_gemma":[0.9992341,0.0002495391,0.0001241628,0.0002092971,0.000124925,0.00005798198],"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":[0.0002848296,0.0001380453,0.002895231,0.0001120213,0.00002874854,0.0002289032,0.0001691059,0.6306723,0.1536642,0.02432507,0.001218686,0.186263],"study_design_scores_gemma":[0.000003776772,0.00002046872,0.0002200647,0.000001867959,0.000001152025,0.00002006817,0.000005889175,0.9903083,0.008162703,0.0006960492,0.0005534162,0.000006334403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03962057,0.00003085997,0.9588466,0.00003773398,0.0000308091,0.00002342045,0.00002245999,0.0005340707,0.0008535296],"genre_scores_gemma":[0.6273925,0.00008833908,0.3700495,0.00005588472,0.00003488995,0.00006897395,0.0001405308,0.0002555099,0.001913825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001032059,"threshold_uncertainty_score":0.003452539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009493441119675032,"score_gpt":0.2075712919520464,"score_spread":0.1980778508323714,"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."}}