{"id":"W4316497998","doi":"10.1016/j.actaastro.2023.01.018","title":"Detection and characterisation of unknown maneuvers in spacecraft","year":2023,"lang":"en","type":"article","venue":"Acta Astronautica","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spacecraft; Space debris; Extended Kalman filter; Trajectory; Aerospace engineering; Orbit determination; Orbital maneuver; Control theory (sociology); Orbit (dynamics); Computer science; Satellite; Collision avoidance; Kalman filter; Engineering; Physics; Collision; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002378955,0.0003368132,0.0004618735,0.0006664,0.0001972595,0.0005708674,0.0003275556,0.0006396375,0.000454241],"category_scores_gemma":[0.00150524,0.0002013287,0.0002341783,0.0003666198,0.0003811932,0.0005009687,0.0005085941,0.0004261784,0.0002755572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014,"about_ca_system_score_gemma":0.0002956991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00192483,"about_ca_topic_score_gemma":0.001412307,"domain_scores_codex":[0.999775,0.0000389307,0.00001100629,0.00005560765,0.00008610275,0.00003350158],"domain_scores_gemma":[0.9994006,0.0003204364,0.00009360569,0.00005738871,0.00008893514,0.00003906955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001186589,0.0001580095,0.0235511,0.0003108808,0.0001255969,0.0005748331,0.000685133,0.2391978,0.3371961,0.003948235,0.001222196,0.3918435],"study_design_scores_gemma":[0.00001270442,0.0002053323,0.02185318,0.00001108131,0.00001398576,0.0002865236,0.0001488804,0.9483745,0.02621506,0.001878262,0.0009844868,0.00001605421],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6296201,0.0005974668,0.3676585,0.0001476155,0.00003588917,0.00002376651,0.0002147328,0.0004745413,0.001227485],"genre_scores_gemma":[0.9800705,0.0001069013,0.01865141,0.00001424374,0.00001615368,0.000007916301,0.0002147908,0.00002888921,0.000889257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00192483,"threshold_uncertainty_score":0.003827214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005132652180461162,"score_gpt":0.1853532716318431,"score_spread":0.180220619451382,"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."}}