{"id":"W2108081861","doi":"10.2514/6.2007-1297","title":"Functional Outputs Error Based Mesh Adaptation","year":2007,"lang":"en","type":"article","venue":"45th AIAA Aerospace Sciences Meeting and Exhibit","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Adaptation (eye); Physics","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":[0.0005610053,0.0005417712,0.000662192,0.0004254782,0.0002803288,0.0005804067,0.001125092,0.00100125,0.00650704],"category_scores_gemma":[0.001843892,0.0002486636,0.0005194338,0.0003709302,0.0004676246,0.0006752341,0.00125791,0.0007557577,0.001220616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003494666,"about_ca_system_score_gemma":0.0003078106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002137379,"about_ca_topic_score_gemma":0.002161522,"domain_scores_codex":[0.9997663,0.00005059431,0.00001294785,0.00006375406,0.00007809075,0.00002834405],"domain_scores_gemma":[0.9995165,0.0001415611,0.00002449518,0.0001497411,0.0001439327,0.00002374336],"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":[0.0002641399,0.0001028343,0.0005482436,0.00009764887,0.00005927144,0.00007292334,0.00005381339,0.6668341,0.02528377,0.01523446,0.003291868,0.2881569],"study_design_scores_gemma":[0.000004731442,0.00001793944,0.00007759364,0.000003151375,0.00000405833,0.00001161783,0.000003442385,0.9957306,0.002242141,0.001313008,0.0005886348,0.000002969053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01666013,0.00009158941,0.9769507,0.0001128167,0.0001376634,0.00003434171,0.00006004908,0.0008504349,0.005102257],"genre_scores_gemma":[0.7000195,0.0001579145,0.2809917,0.0001957517,0.00009073465,0.0001155652,0.0003115275,0.0005918734,0.01752546],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00650704,"threshold_uncertainty_score":0.02176821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04097731743427872,"score_gpt":0.2736835362972424,"score_spread":0.2327062188629637,"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."}}