{"id":"W2513842459","doi":"10.3934/krm.2017040","title":"Cucker-Smale model with normalized communication weights and time delay","year":2017,"lang":"en","type":"preprint","venue":"Kinetic and Related Models","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flocking (texture); Vector field; Particle system; Limit (mathematics); Mathematics; Vlasov equation; Convergence (economics); Lyapunov function; Infinity; Applied mathematics; Type (biology); Mathematical analysis; Control theory (sociology); Statistical physics; Computer science; Physics; Nonlinear system; Control (management)","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":[0.0004256505,0.000446887,0.0007940393,0.00009991044,0.000280602,0.00009509045,0.000465958,0.0007842546,0.00005501363],"category_scores_gemma":[0.0000763874,0.0003090431,0.00007603253,0.00003215067,0.0005678747,0.0001041385,0.0008859159,0.0009268336,0.00001991882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002514685,"about_ca_system_score_gemma":0.00007028984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002548837,"about_ca_topic_score_gemma":0.000003284158,"domain_scores_codex":[0.99826,0.0001403805,0.0005354247,0.0005411436,0.0002091841,0.0003138297],"domain_scores_gemma":[0.9975332,0.0002799716,0.0005011654,0.001388647,0.0001237153,0.0001733261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002327414,0.000375996,0.0001007798,0.001761018,0.0008530724,0.00006082649,0.004661906,0.004794021,0.000128555,0.985041,0.00135496,0.0006350806],"study_design_scores_gemma":[0.0005683723,0.00003358657,0.00001246171,0.000462074,0.0002521371,0.0001022221,0.000005497567,0.4672103,0.00002484226,0.5310749,0.00001426539,0.0002393826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7394425,0.004592156,0.05356306,0.001450924,0.00007687257,0.002139638,0.00007882592,0.0004008008,0.1982552],"genre_scores_gemma":[0.8879787,0.001499774,0.1007448,0.00003467416,0.00001610785,0.00009593856,0.0000921168,0.00007835068,0.009459513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4624163,"threshold_uncertainty_score":0.9999362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03353771629396338,"score_gpt":0.2727350136580696,"score_spread":0.2391972973641062,"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."}}