{"id":"W2168688381","doi":"10.1088/0951-7715/24/10/002","title":"Swarm dynamics and equilibria for a nonlocal aggregation model","year":2011,"lang":"en","type":"article","venue":"Nonlinearity","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":196,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Simon Fraser University","funders":"","keywords":"Mathematics; Ball (mathematics); Dimension (graph theory); Inverse; Mathematical analysis; Polynomial; Zero (linguistics); Stability (learning theory); Range (aeronautics); Statistical physics; Applied mathematics; Physics; Geometry; Combinatorics; Computer science","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":[0.0003756242,0.000500188,0.0004864874,0.0005898789,0.0005935882,0.001043919,0.0007166601,0.001104093,0.002055669],"category_scores_gemma":[0.001046938,0.0001949083,0.0005200112,0.0002844911,0.001230447,0.001382773,0.001665492,0.0004774338,0.000272698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008008596,"about_ca_system_score_gemma":0.0004275015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003700401,"about_ca_topic_score_gemma":0.002049582,"domain_scores_codex":[0.9998529,0.00004001671,0.000007875393,0.00003354521,0.00003729733,0.0000283058],"domain_scores_gemma":[0.9996649,0.00008579861,0.0001109458,0.00002290857,0.00004297135,0.00007237339],"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":[0.00006894339,0.00007712073,0.002016917,0.00007423556,0.00004353687,0.000520588,0.000454107,0.62071,0.009988095,0.3616545,0.001226241,0.00316578],"study_design_scores_gemma":[0.0000252579,0.0000286499,0.0002951358,0.000006626563,0.000007455122,0.00005192866,0.00009033875,0.9606795,0.0003408139,0.03786703,0.0005952795,0.00001190669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6369373,0.0006096659,0.3341649,0.001728535,0.00006215876,0.00007019765,0.0001645761,0.000127908,0.0261347],"genre_scores_gemma":[0.9783586,0.000206836,0.01195448,0.00008939364,0.00002888736,0.00008081612,0.00006590864,0.0000233205,0.009191646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003700401,"threshold_uncertainty_score":0.007357717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1310615574021338,"score_gpt":0.3335164353509562,"score_spread":0.2024548779488224,"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."}}