{"id":"W4224869650","doi":"10.1038/s41598-022-10737-4","title":"Learning aerodynamics with neural network","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Aerodynamics; Artificial neural network; Computer science; Artificial intelligence; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004749761,0.00009618753,0.000103463,0.00003836646,0.001282983,0.0001502195,0.00008553395,0.000008392042,0.001632794],"category_scores_gemma":[0.000001525894,0.00008352385,0.00006165283,0.000456976,0.00007753263,0.00009139728,0.0001131382,0.000324444,0.000005114096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001964991,"about_ca_system_score_gemma":0.00005249028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002064648,"about_ca_topic_score_gemma":0.000002064501,"domain_scores_codex":[0.9986544,0.000065437,0.0001949841,0.0004385823,0.0003578537,0.0002887828],"domain_scores_gemma":[0.9993739,0.00001148841,0.0001822663,0.0003158951,0.00003860414,0.0000778906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009380835,0.00003056248,0.03216744,0.000001042808,0.00001231726,0.00005013031,0.00009806571,0.9464469,0.0001653951,0.0007501709,0.01420161,0.006067003],"study_design_scores_gemma":[0.0003735063,0.0002429781,0.00151791,0.00001401317,0.00005011047,0.0005146081,0.001421709,0.4242056,0.0002399354,0.01701738,0.5537009,0.0007013808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820501,0.00002627225,0.001961598,0.0001254366,0.006247185,0.000155777,8.904236e-7,0.00007454705,0.009358153],"genre_scores_gemma":[0.981448,1.185248e-7,0.0001584163,0.00002350303,0.000236841,0.00003662685,0.00009677836,0.0000143774,0.01798536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5394992,"threshold_uncertainty_score":0.9992799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008049616465705393,"score_gpt":0.2126696973807983,"score_spread":0.2046200809150929,"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."}}