{"id":"W4399849452","doi":"10.1109/lcsys.2024.3417856","title":"A Continuous-Time Gradient-Tracking Algorithm for Directed Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Control Systems Letters","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algorithm; Computer science; Tracking (education); Artificial intelligence; Psychology","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":[0.0005787186,0.0006191304,0.0005105248,0.000376726,0.0003002091,0.0006502594,0.0008850393,0.0008543008,0.001481148],"category_scores_gemma":[0.001478688,0.0002754474,0.0002803066,0.0003900591,0.0005565801,0.0007129768,0.0007601474,0.0008110409,0.0003484682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000806218,"about_ca_system_score_gemma":0.001067411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003860492,"about_ca_topic_score_gemma":0.003072195,"domain_scores_codex":[0.9998206,0.00005024394,0.00000861639,0.00004587449,0.00005258403,0.00002216666],"domain_scores_gemma":[0.9996885,0.0001502596,0.00003949568,0.00002086883,0.00007765189,0.00002325829],"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":[0.00005180985,0.00003946634,0.0002689558,0.00006698909,0.00002181597,0.00005331065,0.00006832153,0.8999748,0.003385112,0.03276363,0.00127314,0.06203265],"study_design_scores_gemma":[0.000008085502,0.00001659176,0.00001713499,0.000003384021,0.000001533465,0.000007217833,0.000002647795,0.9966307,0.0003427967,0.002416421,0.0005511866,0.000002360889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00458593,0.00008387154,0.9937033,0.00007846436,0.00002397653,0.00002518808,0.00001047629,0.0001195881,0.001369204],"genre_scores_gemma":[0.6058109,0.0002745604,0.3868167,0.0001868746,0.0000402078,0.0003134495,0.00009995317,0.00007848706,0.006378848],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003860492,"threshold_uncertainty_score":0.007676065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008879330642873355,"score_gpt":0.2195452148752291,"score_spread":0.2106658842323557,"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."}}