{"id":"W2911800205","doi":"10.1109/taes.2019.2895586","title":"Resilient Attitude Alignment in Multispacecraft Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Spacecraft; Integrator; Computer science; Control theory (sociology); Robustness (evolution); Control (management); Double integrator; Aerospace engineering; Engineering; Bandwidth (computing); Computer network; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007270736,0.0003995937,0.0005996517,0.0002841987,0.0001471498,0.0004013648,0.000600839,0.0002052605,0.000006442615],"category_scores_gemma":[0.000003667411,0.0003784505,0.000119504,0.0005440192,0.00003356952,0.0003551136,0.000007109961,0.0004453475,0.0003149222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008102701,"about_ca_system_score_gemma":0.0001596804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488797,"about_ca_topic_score_gemma":0.000473947,"domain_scores_codex":[0.9965558,0.000306026,0.0005246644,0.000924457,0.0006344428,0.001054585],"domain_scores_gemma":[0.9983528,0.0001567814,0.0001914988,0.001020494,0.00006995562,0.0002084947],"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":[0.0003441113,0.001814048,0.006742827,0.001179862,0.0009525376,0.0001216111,0.003290541,0.850613,0.06575099,0.06046731,0.00325197,0.005471216],"study_design_scores_gemma":[0.009154584,0.001488951,0.001358455,0.001207089,0.00007083744,0.0002774554,0.001635912,0.9464805,0.004096164,0.00002681726,0.032551,0.001652245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1520364,0.003491586,0.8361421,0.0007482215,0.003953504,0.002694803,0.00002544602,0.0002948652,0.0006130836],"genre_scores_gemma":[0.993326,0.0002415819,0.000057982,0.00005275327,0.00005014274,0.0003896322,0.000002247433,0.00003160198,0.00584803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8412896,"threshold_uncertainty_score":0.9998667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006981292599553414,"score_gpt":0.2184814067672682,"score_spread":0.2115001141677148,"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."}}