{"id":"W4408564188","doi":"10.1109/tits.2025.3549071","title":"Double Chi-Squared Distributions-Based Advanced RAIM for Air Transportation","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Aeronautics; Receiver autonomous integrity monitoring; Computer science; Engineering; Transport engineering; Statistics; Mathematics; Global Positioning System; Telecommunications; GNSS applications","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":[0.003495002,0.001381184,0.001019407,0.001858308,0.0004180719,0.001580138,0.002317513,0.0009541512,0.004478979],"category_scores_gemma":[0.01424398,0.0004820532,0.001276476,0.001408178,0.001103263,0.002447846,0.0025813,0.002425356,0.001629175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341927,"about_ca_system_score_gemma":0.002099525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288023,"about_ca_topic_score_gemma":0.002408579,"domain_scores_codex":[0.9974138,0.0008284348,0.0001507321,0.0004944185,0.000907324,0.0002052451],"domain_scores_gemma":[0.9931432,0.003323172,0.0007077595,0.0009437702,0.001694522,0.0001875451],"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":[0.0004151851,0.0001446113,0.005815519,0.0002705655,0.0001983939,0.0002429424,0.0001359607,0.7111298,0.008721057,0.05902062,0.003650378,0.2102549],"study_design_scores_gemma":[0.000008881243,0.00009162058,0.0006847778,0.0000114198,0.00001902199,0.0001084669,0.00002188582,0.9868031,0.002142974,0.008783473,0.00130305,0.0000213812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006170029,0.0001891602,0.9919072,0.00007317094,0.00003600678,0.00004462875,0.0000685872,0.0004651341,0.001045962],"genre_scores_gemma":[0.4699512,0.0005696207,0.5226613,0.0002313478,0.0002131141,0.0003422684,0.000832447,0.0003177134,0.004880958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004478979,"threshold_uncertainty_score":0.01848358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324204276855083,"score_gpt":0.2541376425026465,"score_spread":0.2408955997340956,"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."}}