{"id":"W4415180876","doi":"10.23919/ecc65951.2025.11186992","title":"Optimal Constant Climb Airspeed with Variable Cost Index for All-electric Aircraft","year":2025,"lang":"en","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Airspeed; Climb; Constant (computer programming); Variable (mathematics); Climbing; Control theory (sociology); Air traffic control","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":[0.00009053604,0.0001302967,0.0001333077,0.0001494162,0.00005247937,0.00004881099,0.00009963183,0.00006179148,0.0001452429],"category_scores_gemma":[0.000008092474,0.0001138734,0.00002479821,0.0004186587,0.0000133146,0.0001031158,0.00001586545,0.00007068556,0.000007381783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006119809,"about_ca_system_score_gemma":0.00003073658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007240937,"about_ca_topic_score_gemma":0.0000188144,"domain_scores_codex":[0.9993505,0.000005033494,0.0001501727,0.0001540416,0.00008059452,0.0002596707],"domain_scores_gemma":[0.9997161,0.00005093502,0.00001531332,0.000131755,0.00005167072,0.00003424277],"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":[0.00005851475,0.00002519184,0.000210319,0.00008110606,0.0001408332,0.000001059441,0.0000233148,0.9347786,0.00003984351,0.03034268,0.03210494,0.002193589],"study_design_scores_gemma":[0.001023041,0.00005668624,0.00007940685,0.00002009339,0.0000598227,5.449247e-7,0.00009343538,0.959336,0.0002746778,0.00006911218,0.03883072,0.0001564579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001015738,0.00005325361,0.8635042,0.0001640424,0.0001138303,0.0006355956,0.000002915094,0.0004931616,0.1340172],"genre_scores_gemma":[0.8916484,0.0000863216,0.09639897,0.0004572949,0.00005077986,0.0001839876,0.00008417184,0.00004534401,0.01104469],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8906327,"threshold_uncertainty_score":0.4643621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006097635477936251,"score_gpt":0.2107656800656438,"score_spread":0.2046680445877075,"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."}}