{"id":"W2475692339","doi":"10.1142/9789812810793_0018","title":"Advances in Algorithms for Computing Aerodynamic Flows","year":2001,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Aerodynamics; Computer science; Algorithm; Aerospace engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000412564,0.0004413887,0.0004715565,0.0007978021,0.0002038505,0.0002161883,0.0003741392,0.0001478129,0.00003731253],"category_scores_gemma":[0.00000415945,0.0005080533,0.0002169886,0.0001080298,0.0001224441,0.0000802022,0.00008451523,0.0004071674,0.00004210793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003120532,"about_ca_system_score_gemma":0.000062927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001617469,"about_ca_topic_score_gemma":0.009651438,"domain_scores_codex":[0.9978666,0.000007316393,0.0006169154,0.0006512953,0.0003708817,0.0004869437],"domain_scores_gemma":[0.999127,0.0001766836,0.00009533113,0.000379609,0.0001178516,0.0001035591],"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":[0.00001120405,0.00001636001,0.00001080859,0.0003234094,0.00004801537,0.00004124402,0.0001729742,0.511402,0.0001962033,0.2246996,0.001689191,0.261389],"study_design_scores_gemma":[0.0002046308,0.000007418101,0.000007691837,0.0002376007,0.00001264749,0.000004284271,0.000002822354,0.6639469,0.000001306418,0.02317331,0.3120277,0.0003737124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008389451,0.001496105,0.05995572,0.00001658638,0.005062798,0.0008099799,0.0002173775,0.0003471175,0.9312554],"genre_scores_gemma":[0.02281847,0.00003227774,0.008410248,0.00002690573,0.0003887886,0.00003047638,0.0005946259,0.000205115,0.9674931],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3103385,"threshold_uncertainty_score":0.9997371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345896718972386,"score_gpt":0.2362442267430249,"score_spread":0.222785259553301,"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."}}