{"id":"W2983959247","doi":"10.1109/mrs.2019.8901049","title":"Computational and Structural Advantages of Pairwise Flocking","year":2019,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Flocking (texture); Flock; Pairwise comparison; Computer science; Swarm behaviour; Robustness (evolution); Artificial intelligence; Distributed computing; Biology; Ecology; Physics","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":[0.000564795,0.0002973254,0.0003474763,0.0004743607,0.0007626765,0.0005712446,0.0009912566,0.0006326663,0.004542492],"category_scores_gemma":[0.006038285,0.0002801949,0.000342102,0.0003316291,0.0007092853,0.001455883,0.001214272,0.0004928631,0.0003009229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004095284,"about_ca_system_score_gemma":0.0004401292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252758,"about_ca_topic_score_gemma":0.0017191,"domain_scores_codex":[0.999733,0.0000693207,0.00001382449,0.00005646314,0.00008390589,0.00004340296],"domain_scores_gemma":[0.9978599,0.001022292,0.0003003589,0.000397646,0.0001965923,0.0002231325],"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":[0.0005119244,0.0003331268,0.01560294,0.0002306157,0.0000788129,0.0003810099,0.0002864711,0.7012426,0.03439517,0.1699739,0.002403261,0.07456012],"study_design_scores_gemma":[0.00005952324,0.0003267122,0.006430374,0.00001109739,0.00003716786,0.000244407,0.0001211713,0.9274221,0.003723278,0.05972441,0.001873085,0.00002671429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8752009,0.0002504301,0.103605,0.0007109779,0.00008665119,0.0000492322,0.0001576709,0.0002402141,0.01969894],"genre_scores_gemma":[0.9836911,0.00005692748,0.01522082,0.00002831296,0.00002187693,0.00002534571,0.0001060619,0.00002839765,0.0008211227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004542492,"threshold_uncertainty_score":0.0151962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005841997265199025,"score_gpt":0.2283392088103693,"score_spread":0.2224972115451703,"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."}}