{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001170435,0.00117967,0.0006437461,0.0008709473,0.0003213679,0.0009888668,0.0008953725,0.0003849613,0.003130087],"category_scores_gemma":[0.001340124,0.0005192898,0.001289867,0.0006555117,0.0006932179,0.0006373394,0.0007762261,0.0008259601,0.000649771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000709519,"about_ca_system_score_gemma":0.001143544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002707675,"about_ca_topic_score_gemma":0.003650027,"domain_scores_codex":[0.9993736,0.0001742604,0.0000397717,0.00009426931,0.0002684518,0.00004963627],"domain_scores_gemma":[0.9994783,0.0002760463,0.00006339137,0.00004729086,0.0001246825,0.00001040933],"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":[0.00001912047,0.0000204518,0.0002386741,0.0001988132,0.00002841569,0.00008322109,0.00008775869,0.9096883,0.008430528,0.02801945,0.0004866733,0.05269848],"study_design_scores_gemma":[0.00001127109,0.00006044172,0.0001240516,0.00003103882,0.00001493704,0.00004078326,0.00002023581,0.9808482,0.002206356,0.01318657,0.00344598,0.00001007891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002850748,0.00006642368,0.9951788,0.00001274429,0.00000899716,0.00005182552,0.00003502513,0.00008961798,0.001705804],"genre_scores_gemma":[0.2371139,0.0003703177,0.7579752,0.00004144834,0.00003691261,0.0004082401,0.0002757181,0.0002223033,0.00355601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003130087,"threshold_uncertainty_score":0.01047117,"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."}}