{"id":"W2525902327","doi":"10.3934/dcdsb.2016062","title":"A new discrete Cucker-Smale flocking model under hierarchical leadership","year":2016,"lang":"en","type":"article","venue":"Discrete and Continuous Dynamical Systems - B","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flocking (texture); Nonlinear system; Hierarchical database model; Computer science; Mathematics; Statistical physics; Physics; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005182535,0.0005509235,0.0008542094,0.0001495779,0.0002532123,0.0007307732,0.001308298,0.000323157,0.00000934858],"category_scores_gemma":[0.0001274264,0.0003731148,0.0002660076,0.0003009413,0.0001729229,0.0008196284,0.0004594573,0.0003223374,0.00006221548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715645,"about_ca_system_score_gemma":0.0001396771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005715938,"about_ca_topic_score_gemma":0.00007120964,"domain_scores_codex":[0.9955726,0.0003460062,0.0008709359,0.001237422,0.0007614992,0.001211543],"domain_scores_gemma":[0.99736,0.0003968883,0.0002763601,0.001083284,0.0001038494,0.0007796156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000178086,0.000118285,0.008290485,0.0002451493,0.0004791541,0.0001563981,0.001102743,0.001793491,0.01561876,0.918677,0.002663777,0.05067662],"study_design_scores_gemma":[0.003020532,0.0001659384,0.002572234,0.0006434924,0.00006310209,0.0001277992,0.0003318891,0.9857164,0.0000466247,0.004732562,0.001597608,0.0009817966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03139592,0.0008155553,0.9602285,0.004394249,0.0006325876,0.0007013666,0.00008011341,0.0004783813,0.001273306],"genre_scores_gemma":[0.9900183,0.00001237737,0.001761119,0.0002279778,0.0003321414,0.000084206,0.00001656112,0.00005205288,0.007495257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.983923,"threshold_uncertainty_score":0.9998721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256396345375673,"score_gpt":0.2376466926672371,"score_spread":0.2120070581296698,"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."}}