{"id":"W4383502181","doi":"10.4050/f-0079-2023-17978","title":"Full-Aircraft CH-53K® Hover Simulations with Helios","year":2023,"lang":"en","type":"article","venue":"","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Fuselage; Aerospace engineering; Rotor (electric); Aeronautics; Lift (data mining); Propulsion; Marine engineering; Automotive engineering; Aerodynamics; Computer science; Engineering; Environmental science; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003918619,0.0008940634,0.00087977,0.0004236394,0.0007555194,0.0007440867,0.00159084,0.0009821618,0.0128648],"category_scores_gemma":[0.001261893,0.0005338197,0.0007784535,0.0007654312,0.0004455232,0.0006759678,0.0007226776,0.001175628,0.001127857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007993357,"about_ca_system_score_gemma":0.001229861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02306725,"about_ca_topic_score_gemma":0.01946185,"domain_scores_codex":[0.9998364,0.00002877513,0.000005923096,0.0000186116,0.00005936779,0.00005078534],"domain_scores_gemma":[0.9994174,0.0002760451,0.00003576892,0.00004852512,0.0001500161,0.00007224818],"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":[0.0001569975,0.0001110528,0.002134325,0.00009997877,0.00004944336,0.0001656575,0.0001057615,0.9839498,0.001749374,0.003199261,0.004915005,0.003363256],"study_design_scores_gemma":[0.0001094886,0.0000580339,0.001393045,0.00001621423,0.00001207119,0.00002147414,0.00007445038,0.9941199,0.0007693021,0.000942193,0.002468337,0.00001560364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8507306,0.0003930383,0.02760557,0.0006045739,0.0001811846,0.0002868569,0.0133024,0.002328463,0.1045672],"genre_scores_gemma":[0.960151,0.0002250708,0.02031624,0.0001648139,0.0000510393,0.0004648595,0.007315586,0.0008476474,0.01046367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02306725,"threshold_uncertainty_score":0.04586601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007192472454828669,"score_gpt":0.2047891495668269,"score_spread":0.1975966771119982,"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."}}