{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005241343,0.0006057803,0.0004505893,0.0004315764,0.0004784033,0.0006700478,0.000542046,0.0007259069,0.0007649372],"category_scores_gemma":[0.001995462,0.0002292126,0.000385322,0.0003225807,0.0008522909,0.0008851173,0.001357126,0.0006323204,0.0001162829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627118,"about_ca_system_score_gemma":0.0003432989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00290855,"about_ca_topic_score_gemma":0.001017948,"domain_scores_codex":[0.9994934,0.0001269778,0.00002290149,0.0001531614,0.0001154125,0.00008814265],"domain_scores_gemma":[0.9989443,0.0003954719,0.0003610394,0.0001309611,0.0001082032,0.0000598997],"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":[0.00007503568,0.00001732268,0.000670888,0.00003099251,0.00002369645,0.000142107,0.0000823397,0.9775753,0.005235311,0.005921461,0.0001468554,0.01007878],"study_design_scores_gemma":[0.00000677551,0.00008384647,0.0003365315,0.000004042031,0.00000627952,0.00002587328,0.0000292482,0.9949461,0.001059488,0.003290481,0.0002061456,0.000005256361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2662384,0.0003973462,0.7281646,0.0002649846,0.0000614087,0.00005682373,0.00004366498,0.0005448083,0.004228036],"genre_scores_gemma":[0.996141,0.00005117181,0.003417895,0.00001280522,0.00000690546,0.00001151892,0.0000109304,0.000005540333,0.0003422793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00290855,"threshold_uncertainty_score":0.0057832,"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."}}