{"id":"W2569147931","doi":"10.2514/6.2017-0579","title":"Longitudinal Aerodynamic Coefficients of Hydra Technologies UAS-S4 from Geometrical Data","year":2017,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Lernaean Hydra; Aerodynamics; Computer science; Aeronautics; Aerospace engineering; Engineering; Biology","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":[0.002596774,0.0006672445,0.0004608468,0.001638879,0.0005380087,0.001514274,0.0005875738,0.000620401,0.01606309],"category_scores_gemma":[0.01057068,0.0003626103,0.001138206,0.001517343,0.0004130514,0.001227756,0.001052107,0.000995726,0.007204509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005616238,"about_ca_system_score_gemma":0.0008775097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01296907,"about_ca_topic_score_gemma":0.008576869,"domain_scores_codex":[0.9980444,0.0004565228,0.0001513227,0.0004158075,0.0007064047,0.0002255593],"domain_scores_gemma":[0.9936493,0.002722492,0.0008574479,0.000665758,0.001798291,0.0003066878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003854346,0.0002012643,0.8986139,0.0003098191,0.0003087138,0.0002231135,0.0009835473,0.01755987,0.00339125,0.001712784,0.01043481,0.06587574],"study_design_scores_gemma":[0.00001776893,0.0005606142,0.949437,0.0001129115,0.0001054141,0.000249835,0.001180201,0.03117551,0.002399181,0.0008083068,0.01387016,0.00008314259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420893,0.0004875207,0.01807654,0.0003270005,0.000263952,0.0002294375,0.01965243,0.0004764787,0.01839747],"genre_scores_gemma":[0.9792846,0.0002386808,0.004426442,0.00005647603,0.00004536592,0.0002232082,0.01108777,0.0001469688,0.004490402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01606309,"threshold_uncertainty_score":0.05373639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06229943085315125,"score_gpt":0.2893252878845479,"score_spread":0.2270258570313966,"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."}}