{"id":"W4391957026","doi":"10.1111/sapm.12676","title":"Asymptotic profiles of a spatial vector‐borne disease model with Fokker–Planck‐type diffusion","year":2024,"lang":"en","type":"article","venue":"Studies in Applied Mathematics","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Fokker–Planck equation; Diffusion; Type (biology); Statistical physics; Eigenvalues and eigenvectors; Biological dispersal; Disease; Mathematics; Applied mathematics; Physics; Mathematical analysis; Biology; Medicine; Ecology; Quantum mechanics; Partial differential equation; Population","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":[0.001345055,0.0006574688,0.0008453554,0.001091718,0.0006130143,0.001283987,0.001354423,0.001711347,0.002199195],"category_scores_gemma":[0.008093344,0.0003971269,0.001009654,0.0004967237,0.001657714,0.002234722,0.001467974,0.001180885,0.0002806152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443871,"about_ca_system_score_gemma":0.0009432548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00888165,"about_ca_topic_score_gemma":0.0020197,"domain_scores_codex":[0.9996337,0.0001498715,0.00001745207,0.00006634084,0.00006614948,0.00006654448],"domain_scores_gemma":[0.9971821,0.001471318,0.0004773254,0.0001032469,0.0004754942,0.0002905275],"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":[0.0001319319,0.0001371867,0.007431202,0.0001751413,0.0001187834,0.0009346932,0.0005386111,0.6799297,0.01188259,0.288976,0.002498105,0.007246031],"study_design_scores_gemma":[0.00001414208,0.0000424724,0.001099645,0.00001343673,0.00001896864,0.0001298297,0.00007388001,0.9691399,0.0002958703,0.02878224,0.0003643868,0.00002510507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6010668,0.001681007,0.3731057,0.00355002,0.0001044763,0.0001170237,0.0003081235,0.0002751392,0.01979167],"genre_scores_gemma":[0.9890069,0.0003844462,0.005583544,0.0001180795,0.00004246733,0.00005468229,0.00009255607,0.00002444711,0.004692896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00888165,"threshold_uncertainty_score":0.0176599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04487228612259685,"score_gpt":0.3270415481741742,"score_spread":0.2821692620515774,"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."}}