{"id":"W4416924297","doi":"10.1109/dasc66011.2025.11257321","title":"DO-377B and its Application in Automated Air Taxi Scenario","year":2025,"lang":"","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aero Montreal (Canada)","funders":"","keywords":"Automation; Work (physics); Field (mathematics); Air traffic control; Current (fluid)","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":[0.0021682,0.0004338463,0.0002866053,0.001585127,0.001301766,0.001672064,0.001230973,0.001446115,0.006009921],"category_scores_gemma":[0.005127799,0.0001624194,0.0003034113,0.0007017493,0.000979536,0.0009188045,0.0009711606,0.001160173,0.00146489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001871319,"about_ca_system_score_gemma":0.002882691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0235022,"about_ca_topic_score_gemma":0.01591043,"domain_scores_codex":[0.9966145,0.0005434818,0.0001364275,0.0003461549,0.001975722,0.0003836741],"domain_scores_gemma":[0.9967121,0.0005052088,0.0002530982,0.0005128967,0.001785537,0.00023115],"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":[0.00178238,0.0006776318,0.05551681,0.001093042,0.00008724617,0.002641498,0.001237446,0.08048641,0.07349189,0.2064741,0.08368946,0.4928221],"study_design_scores_gemma":[0.0002033201,0.001253441,0.04058821,0.0006818121,0.0001234067,0.001618271,0.001509771,0.08232171,0.06117048,0.03053829,0.779743,0.000248357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2907062,0.004357425,0.1649384,0.007112473,0.003005112,0.001173728,0.002749525,0.003634681,0.5223224],"genre_scores_gemma":[0.9405522,0.0009866996,0.02843278,0.0008169753,0.0001913872,0.0001945549,0.001758327,0.0002364135,0.02683069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0235022,"threshold_uncertainty_score":0.04673082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004833562393074228,"score_gpt":0.2174716579459412,"score_spread":0.212638095552867,"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."}}