{"id":"W4401507495","doi":"10.1109/tac.2024.3441673","title":"Distributed Attitude Estimation for Multiagent Systems on $SO(3)$","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimation; Computer science; Multi-agent system; Control theory (sociology); Control engineering; Distributed computing; Control (management); Artificial intelligence; Engineering; Systems engineering","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":[0.0005272171,0.0007670712,0.0007514134,0.0003131814,0.0004511125,0.0009603528,0.0007584448,0.000781769,0.002822148],"category_scores_gemma":[0.001635249,0.000238749,0.0007204284,0.0006317451,0.0006490725,0.0009898442,0.001135274,0.0009066966,0.0007037441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006188806,"about_ca_system_score_gemma":0.0006205672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008771581,"about_ca_topic_score_gemma":0.004615196,"domain_scores_codex":[0.9993922,0.0001782297,0.00002902195,0.0001794283,0.0001594017,0.00006173986],"domain_scores_gemma":[0.9993618,0.0002736545,0.00009433888,0.00007453119,0.0001663537,0.00002939782],"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":[0.00008493364,0.00002409686,0.0006264756,0.00007597388,0.00004500659,0.0001630868,0.00007698057,0.9123285,0.002899211,0.0405357,0.001381823,0.04175812],"study_design_scores_gemma":[0.000006495025,0.00002132401,0.0002015756,0.000003745623,0.000006481462,0.00001482934,0.00001316154,0.9863057,0.0002735224,0.01171756,0.001430288,0.000005320848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01257055,0.0002406836,0.9829645,0.0001659663,0.00007472722,0.00002652173,0.00007376954,0.0002197673,0.003663508],"genre_scores_gemma":[0.8317989,0.0008936626,0.1571771,0.0002686532,0.0001377284,0.00026814,0.0004657539,0.00008909612,0.008900953],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008771581,"threshold_uncertainty_score":0.01744103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163034761031452,"score_gpt":0.2662337516885077,"score_spread":0.2499302755853625,"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."}}