{"id":"W4407388207","doi":"10.2514/6.2025-1934","title":"Autoencoder-Based Anomaly Detection for an Active Debris Removal Spacecraft","year":2025,"lang":"en","type":"article","venue":"","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Autoencoder; Spacecraft; Anomaly detection; Anomaly (physics); Computer science; Debris; Artificial intelligence; Remote sensing; Geology; Engineering; Aerospace engineering; Deep learning; Physics; Meteorology","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":[0.00008876111,0.000129072,0.0001570138,0.000120101,0.00006318617,0.0000410672,0.00007050883,0.00009592967,0.00002334205],"category_scores_gemma":[0.00001558128,0.0001219874,0.00008268661,0.0001566476,0.000009329397,0.0001171597,0.000004373782,0.00006549537,0.00001065275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009433621,"about_ca_system_score_gemma":0.00002944813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002114057,"about_ca_topic_score_gemma":0.001861082,"domain_scores_codex":[0.9994062,0.00001657569,0.0001328202,0.0001716381,0.00006453475,0.000208208],"domain_scores_gemma":[0.9996312,0.00005029502,0.00001618777,0.0002002086,0.00005249614,0.00004965938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003380091,0.00008612269,0.0005867035,0.0003373774,0.0003340042,0.000007914195,0.0003041301,0.06767501,0.3594538,0.001632501,0.002159224,0.5670852],"study_design_scores_gemma":[0.0007897009,0.00009285673,0.001344244,0.00001950253,0.00002880779,0.0000022647,0.0002153959,0.8485317,0.1081254,0.000148022,0.0405408,0.0001614139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.103964,0.0001740056,0.8732978,0.000151096,0.0006227746,0.0005424512,0.000008842039,0.0006813929,0.0205576],"genre_scores_gemma":[0.9929358,0.000002837835,0.00432892,0.00009155084,0.00009034451,0.0001005052,0.00000482397,0.00002317473,0.002422079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8889717,"threshold_uncertainty_score":0.4974502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008366269468767529,"score_gpt":0.2309300823302246,"score_spread":0.222563812861457,"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."}}