{"id":"W3129112770","doi":"10.1090/proc/15295","title":"Flocking in a two-agent Cucker-Smale model with large delay","year":2021,"lang":"en","type":"article","venue":"Proceedings of the American Mathematical Society","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canada Research Chairs","keywords":"Flocking (texture); Computer science; Control theory (sociology); Artificial intelligence; Physics","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":[0.0008128564,0.0008032431,0.001241605,0.0007515047,0.0009831145,0.001337962,0.00142706,0.002635231,0.00255255],"category_scores_gemma":[0.003811028,0.0004405003,0.0005916097,0.0003787823,0.001882107,0.001586871,0.001549083,0.001266809,0.0002437317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193003,"about_ca_system_score_gemma":0.0007977692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168267,"about_ca_topic_score_gemma":0.005362345,"domain_scores_codex":[0.999638,0.00009196009,0.00001962933,0.00008530839,0.00006925577,0.00009589268],"domain_scores_gemma":[0.9977595,0.001003176,0.0005463428,0.00007506098,0.0002790485,0.0003369355],"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":[0.0001784753,0.00006325132,0.001414625,0.0001545146,0.0000631656,0.0005733788,0.0003290677,0.9208651,0.006813611,0.06642128,0.0007764491,0.002347016],"study_design_scores_gemma":[0.00002630399,0.00003849042,0.0001612912,0.000006555347,0.000008310985,0.00002082876,0.00003424898,0.9956141,0.0001675681,0.003729154,0.0001807599,0.00001238184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6930292,0.0009766731,0.2851695,0.001691286,0.0002127214,0.0001598746,0.0003241325,0.0002381266,0.0181985],"genre_scores_gemma":[0.9908297,0.0001570792,0.003662697,0.00008027732,0.00001993234,0.00007983512,0.00004267048,0.00001436244,0.00511334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01168267,"threshold_uncertainty_score":0.0232293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289828747091021,"score_gpt":0.2551672957108606,"score_spread":0.2422690082399503,"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."}}