{"id":"W2620920098","doi":"10.2514/6.2017-3152","title":"Methodology of Estimation of Aerodynamic Coefficients of the UAS-E4 Ehécatl using Datcom and VLM Procedure","year":2017,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Aerodynamics; Estimation; Computer science; Aerospace engineering; Engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001613702,0.00009367107,0.0002044644,0.00007827434,0.0001059888,0.0000182603,0.0002107299,0.0001102076,3.703022e-7],"category_scores_gemma":[0.0003908938,0.00007840575,0.00002353053,0.00006682104,0.0001856731,0.00009242599,0.0001521717,0.00009352281,3.126893e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001182721,"about_ca_system_score_gemma":0.00002451341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003511939,"about_ca_topic_score_gemma":0.00001775168,"domain_scores_codex":[0.9993876,0.00001576898,0.0002854958,0.0001287228,0.0001009336,0.00008150521],"domain_scores_gemma":[0.9992599,0.0001228585,0.0001693877,0.0002841796,0.0001550596,0.00000863994],"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":[0.000004481113,0.000006695174,0.001498419,0.0001083487,0.00001214736,4.035808e-8,0.0001026013,0.9710608,0.005880278,0.005255802,6.858124e-8,0.01607038],"study_design_scores_gemma":[0.0001494527,0.0000160435,0.002742597,0.0001105865,0.000019267,0.000001120463,0.0001306118,0.985096,0.0006515005,0.01101326,1.601634e-7,0.0000693643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5405562,0.00006348827,0.4592078,0.00002180949,0.00003155378,0.00006763732,0.000009514806,0.00003370106,0.000008301134],"genre_scores_gemma":[0.9807155,0.0000628454,0.01920293,0.000001178504,0.000001598154,0.000001411561,0.000005143847,0.000007448622,0.000001909616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4401594,"threshold_uncertainty_score":0.3197294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06399476858947185,"score_gpt":0.3080852002315478,"score_spread":0.244090431642076,"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."}}