{"id":"W4378191837","doi":"10.1109/syscon53073.2023.10131085","title":"An Algorithm for Flock Formation Control using Distributed Consensus","year":2023,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Flocking (texture); Computer science; Algorithm; Consensus algorithm; A priori and a posteriori; Control theory (sociology); Control (management); 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":[],"consensus_categories":[],"category_scores_codex":[0.0005903473,0.0001821143,0.0002657852,0.0001446909,0.0002375287,0.0003275354,0.0006327021,0.00009226742,0.000004732504],"category_scores_gemma":[0.00008136873,0.0001691845,0.0001078086,0.000625878,0.00002480686,0.0006116883,0.00005581784,0.00006213948,0.0001002688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001164387,"about_ca_system_score_gemma":0.0000713871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006662352,"about_ca_topic_score_gemma":0.00001004617,"domain_scores_codex":[0.9982452,0.0001123189,0.0004386972,0.0003834124,0.0002933189,0.000527018],"domain_scores_gemma":[0.9985547,0.0002337995,0.0001588116,0.0005936601,0.0002882541,0.0001707472],"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":[0.0001403015,0.0006897256,0.000855347,0.0002550109,0.0006295761,0.0002043937,0.001316976,0.09620824,0.09024013,0.09188555,0.06546891,0.6521059],"study_design_scores_gemma":[0.002422621,0.00007611664,0.0003258837,0.00001135872,0.00001676137,0.0000234547,0.000105959,0.9926387,0.001090325,0.0005091821,0.002561593,0.0002180143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005040289,0.00001372881,0.9908884,0.0005828004,0.0006521228,0.000959356,0.0006727898,0.001130702,0.00005982059],"genre_scores_gemma":[0.9305139,7.264276e-7,0.0684915,0.0001842713,0.0001556452,0.0001135392,0.000433573,0.00001725631,0.00008964745],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9254736,"threshold_uncertainty_score":0.6899143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03507484617500893,"score_gpt":0.2912333924779123,"score_spread":0.2561585463029034,"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."}}