{"id":"W2967734124","doi":"10.2514/1.c035114","title":"Generalized Sizing Methodology for Hybrid Aircraft Using Integrated Performance Constraints","year":2019,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Sizing; Wing; Engineering; Automotive engineering; Aerospace engineering; Propeller; Fixed wing; Power (physics); Takeoff and landing; Process (computing); Airworthiness; Computer science; Marine 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":[],"consensus_categories":[],"category_scores_codex":[0.0009774894,0.0002371488,0.0005348921,0.0001525602,0.0001148016,0.0000264732,0.0004777771,0.0001274429,0.0008062969],"category_scores_gemma":[0.0003388319,0.0001903953,0.0002170966,0.0002428949,0.000371362,0.0005473424,0.0001206407,0.0003785749,0.00007367737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002677443,"about_ca_system_score_gemma":0.00007054395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001362747,"about_ca_topic_score_gemma":0.000002683171,"domain_scores_codex":[0.9982159,0.0001175735,0.0006458827,0.0002720292,0.0002984687,0.0004501931],"domain_scores_gemma":[0.9987116,0.0003278937,0.0005209221,0.0002556964,0.00007813379,0.0001057111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005672767,0.000157249,0.05080165,0.00007706453,0.0001699585,0.00008111937,0.0002381551,0.03542141,0.7187293,0.0003572119,0.001937659,0.1914619],"study_design_scores_gemma":[0.01266542,0.004395961,0.01270602,0.0006387355,0.0004050826,0.005407767,0.002107377,0.08152076,0.725023,0.0184059,0.1344355,0.002288583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.795145,0.0001233981,0.2033911,0.000248441,0.0005112489,0.000273067,0.000006817051,0.00005504136,0.0002458642],"genre_scores_gemma":[0.6213471,0.0000659911,0.3780478,0.0002171289,0.00005308487,0.000003445967,0.000001541027,0.00002258286,0.0002412866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1891733,"threshold_uncertainty_score":0.8828386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05073694616835252,"score_gpt":0.2958325674696148,"score_spread":0.2450956213012623,"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."}}