{"id":"W7039060468","doi":"","title":"Large-Eddy Simulation of Low-Reynolds-Number Flows past Airfoils","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Airfoil; Flow (mathematics); Work (physics); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005668203,0.0005691994,0.0009689369,0.0005602252,0.001041634,0.001141198,0.001304184,0.001818394,0.003398217],"category_scores_gemma":[0.002835894,0.0005911044,0.0006442205,0.0004760229,0.000982907,0.001101774,0.0005443624,0.001200431,0.0002904174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374446,"about_ca_system_score_gemma":0.001348757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03373667,"about_ca_topic_score_gemma":0.02062295,"domain_scores_codex":[0.9998228,0.00004619534,0.00001354288,0.00003126484,0.00003438687,0.000051769],"domain_scores_gemma":[0.9979631,0.001197825,0.0001334113,0.0001329693,0.0002284931,0.0003443039],"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":[0.0001943619,0.0001873885,0.00500416,0.00003900752,0.00003773635,0.000110042,0.00004857496,0.9901178,0.00136613,0.000631073,0.0005784626,0.001685218],"study_design_scores_gemma":[0.0000346467,0.0000287409,0.001066467,0.000003386156,0.000003859014,0.00000600011,0.00001801801,0.9983234,0.0002881903,0.0001185387,0.0001028026,0.000005884259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809359,0.0001618931,0.009370323,0.0004098263,0.0001210663,0.00006165922,0.0006849926,0.0003760038,0.007878346],"genre_scores_gemma":[0.9950013,0.00003735462,0.003303753,0.00003086852,0.00001627582,0.0000239949,0.0003301759,0.0000661473,0.001190205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03373667,"threshold_uncertainty_score":0.06708062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400924786815126,"score_gpt":0.2104005467479393,"score_spread":0.186391298879788,"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."}}