{"id":"W6999637960","doi":"","title":"3-D automatic mesh adaptation for turbulent flows","year":2005,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; Mesh generation; Flow (mathematics); Computational fluid dynamics; Adaptation (eye); Adaptive mesh refinement","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000589037,0.0006496273,0.0006482175,0.0006875988,0.0004363966,0.001147576,0.001223115,0.001211664,0.01258539],"category_scores_gemma":[0.001467449,0.0004936194,0.0008773783,0.0004763576,0.000397343,0.0007661953,0.001394501,0.001035175,0.003637874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827004,"about_ca_system_score_gemma":0.0007001818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005273004,"about_ca_topic_score_gemma":0.005946589,"domain_scores_codex":[0.9997242,0.00006340854,0.00001838517,0.0000413235,0.0001256596,0.0000270725],"domain_scores_gemma":[0.9995264,0.0002326148,0.00002896049,0.00008526845,0.00009529363,0.00003145232],"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":[0.0003657082,0.0001104696,0.001681705,0.0002572036,0.0000952647,0.0001753311,0.000175995,0.5510681,0.02812128,0.007515473,0.01999911,0.3904344],"study_design_scores_gemma":[0.00001204763,0.00001192278,0.0001900659,0.00001437031,0.000002508259,0.0000196913,0.00001358207,0.9916714,0.001692347,0.0008857935,0.005478282,0.000008002515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01267959,0.000305134,0.9727787,0.000194395,0.0003583606,0.0000852645,0.0002741872,0.006731842,0.006592568],"genre_scores_gemma":[0.304669,0.0006636754,0.6671696,0.0002434412,0.0001377537,0.0003274413,0.001662383,0.002346414,0.02278028],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01258539,"threshold_uncertainty_score":0.04210234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213551696050466,"score_gpt":0.2520767059744966,"score_spread":0.2307215363694499,"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."}}