{"id":"W4317583844","doi":"10.2514/6.2023-1357","title":"Top Level Aircraft Requirements relaxation for a single-aisle aircraft: a case study on fleet-wide CO2 emissions and economic impacts","year":2023,"lang":"en","type":"article","venue":"AIAA SCITECH 2023 Forum","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Baptist Seminary and Bible College","funders":"","keywords":"Payload (computing); Range (aeronautics); Fuel efficiency; Aviation; Operating cost; Baseline (sea); Automotive engineering; Commercial aviation; Aviation fuel; Environmental science; Aeronautics; Engineering; Computer science; 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":[0.001418219,0.0006518724,0.0003742966,0.0007854949,0.001425333,0.00129528,0.000779691,0.001358814,0.00259503],"category_scores_gemma":[0.001951585,0.000241116,0.001024954,0.0008274505,0.0005568614,0.0009963242,0.0005298798,0.001209335,0.0002924139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003008279,"about_ca_system_score_gemma":0.00106575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03586816,"about_ca_topic_score_gemma":0.05188438,"domain_scores_codex":[0.9991518,0.0002657869,0.00002488694,0.00008073886,0.0002654619,0.0002112031],"domain_scores_gemma":[0.9986724,0.0007417408,0.00009700014,0.0001107622,0.0002549112,0.0001232006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001536777,0.003743993,0.09386251,0.0007307575,0.0002966983,0.0244325,0.002166107,0.7202933,0.04426092,0.01296858,0.008692513,0.08701538],"study_design_scores_gemma":[0.000389936,0.006018654,0.1814538,0.0002006442,0.0003762617,0.003929709,0.01856089,0.7211965,0.0336468,0.005060673,0.0288879,0.0002783523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882624,0.0001011062,0.002544427,0.0001818922,0.00001256442,0.0001324256,0.0002984108,0.00003672324,0.00842999],"genre_scores_gemma":[0.9940268,0.0001025041,0.003039594,0.00002679467,0.000004587797,0.00004304884,0.0003133924,0.00001995863,0.002423262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03586816,"threshold_uncertainty_score":0.07131881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05946170800333946,"score_gpt":0.3074507668151185,"score_spread":0.247989058811779,"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."}}