{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006417258,0.0006679893,0.0006040642,0.0007842241,0.000748291,0.0006822866,0.001136651,0.0008641952,0.002447727],"category_scores_gemma":[0.001520747,0.000251851,0.0004548864,0.000460803,0.000665091,0.0009207978,0.001249193,0.0009948702,0.0006426297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007103196,"about_ca_system_score_gemma":0.0006971277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002196088,"about_ca_topic_score_gemma":0.001255348,"domain_scores_codex":[0.9995496,0.00007890499,0.00002790317,0.0001168471,0.0001865741,0.00004014181],"domain_scores_gemma":[0.9996395,0.0001184211,0.00003491399,0.00004763996,0.0001376822,0.00002181799],"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":[0.0001199596,0.00006574373,0.0003739574,0.000140699,0.00005569119,0.0001103023,0.000220658,0.6457884,0.01334473,0.08106923,0.003661806,0.2550488],"study_design_scores_gemma":[0.00003266735,0.00005920118,0.0000818358,0.0000125863,0.000009775412,0.00003935474,0.00001882905,0.9794092,0.002778314,0.01233128,0.005215416,0.00001157034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002326383,0.00005110909,0.995917,0.00004571107,0.00003750596,0.00004118089,0.00001046958,0.0002741049,0.00129662],"genre_scores_gemma":[0.3146437,0.0002250197,0.6782787,0.0001047357,0.0000620244,0.000468214,0.0001767558,0.0001714447,0.005869393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002447727,"threshold_uncertainty_score":0.008188426,"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."}}