{"id":"W4317632833","doi":"10.2514/6.2023-2192","title":"Attack-tolerant Trajectory Prediction using Generative Adversarial Network Secured by Blockchain Application to the UAS-S4 Ehécatl","year":2023,"lang":"en","type":"article","venue":"AIAA SCITECH 2023 Forum","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Adversarial system; Computer science; Trajectory; Artificial neural network; Artificial intelligence; Data mining; Blockchain; Deep learning; Machine learning; Computer security","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":[0.0004374193,0.0002311578,0.0002104311,0.0001317997,0.0005022389,0.00002760614,0.000337388,0.0003130985,0.00002211768],"category_scores_gemma":[0.00001770321,0.0002076213,0.00008283352,0.001248287,0.00007220754,0.000074467,0.0001121142,0.0003999718,0.0002291227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001883088,"about_ca_system_score_gemma":0.00003599047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004453581,"about_ca_topic_score_gemma":0.0001834849,"domain_scores_codex":[0.9984465,0.00004740671,0.0003193961,0.0003582724,0.0002079631,0.0006205164],"domain_scores_gemma":[0.9993368,0.0000617379,0.00005493082,0.000428265,0.00003727592,0.00008103341],"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":[0.00002337717,0.00001135993,0.0003415552,0.000009378544,0.00008157027,0.000002769661,0.000369772,0.8747996,0.01552931,0.0003877948,0.1014731,0.006970435],"study_design_scores_gemma":[0.0003053398,0.00005550957,0.0005831226,0.00001969488,0.00003031954,0.000006101641,0.0003143449,0.9313753,0.003851708,0.0004452767,0.06276829,0.0002450516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5454658,0.0005834744,0.4394531,0.004845059,0.002379491,0.001879111,0.0003796681,0.004377509,0.0006368163],"genre_scores_gemma":[0.9975671,0.00003385082,0.0008156776,0.000270103,0.0005390537,0.0002446961,0.0001370853,0.00006234361,0.0003300865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4521013,"threshold_uncertainty_score":0.8466551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00970730986334685,"score_gpt":0.2248795940103976,"score_spread":0.2151722841470507,"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."}}