{"id":"W4382025534","doi":"10.4050/f-0079-2023-18147","title":"CH-53K® Supplemental Engine Feed System","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Airframe; Automotive engineering; Environmental science; Computer science; Survivability; Fuel injection; Propulsion; Engineering; Aerospace 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":[0.0003626511,0.0004630214,0.00054032,0.0008781462,0.0005776808,0.0006218348,0.00103647,0.0004469989,0.03151135],"category_scores_gemma":[0.0008402033,0.000228171,0.0002183382,0.0005400077,0.0002020489,0.0005980104,0.0007243269,0.00064743,0.009492574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006493015,"about_ca_system_score_gemma":0.001162634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004606469,"about_ca_topic_score_gemma":0.004035173,"domain_scores_codex":[0.9994769,0.00001998061,0.00001769664,0.00006811056,0.0003575715,0.00005980842],"domain_scores_gemma":[0.9995617,0.00004948708,0.00001982278,0.0000804363,0.0002561871,0.00003233631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003221816,0.0004941414,0.01175127,0.001254995,0.00004923269,0.0007013072,0.000383582,0.01441895,0.3939777,0.01333688,0.09421149,0.4661987],"study_design_scores_gemma":[0.0005093416,0.002567606,0.0285533,0.0001600861,0.00010082,0.001842652,0.0002268483,0.09003659,0.4015233,0.001878515,0.4723479,0.000253042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4744732,0.0007262853,0.2514739,0.0005295032,0.0007992293,0.002379024,0.02174699,0.06945416,0.1784178],"genre_scores_gemma":[0.8855839,0.0002873229,0.02487768,0.0001941239,0.00006218221,0.0006111186,0.01167661,0.0009206264,0.07578647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03151135,"threshold_uncertainty_score":0.1054159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204841579442217,"score_gpt":0.2381123339956389,"score_spread":0.2260639182012167,"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."}}