{"id":"W4387771233","doi":"10.1142/s0218202524400025","title":"Biological modeling with nonlocal advection–diffusion equations","year":2023,"lang":"en","type":"article","venue":"Mathematical Models and Methods in Applied Sciences","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Gruppo Nazionale per la Fisica Matematica; Engineering and Physical Sciences Research Council; Istituto Nazionale di Alta Matematica \"Francesco Severi\"","keywords":"Advection; Structuring; Population; Statistical physics; Focus (optics); Process (computing); Stability (learning theory); Determinism; Computer science; Physics; Sociology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003877828,0.0001605063,0.0005302869,0.0001719728,0.000250314,0.0000162323,0.00009717921,0.0002008357,0.0001240648],"category_scores_gemma":[0.000598104,0.00008821374,0.00004885594,0.0005828105,0.0009583394,0.0000509687,0.0001061355,0.0002697892,0.00003358204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001304383,"about_ca_system_score_gemma":0.00003797266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002444082,"about_ca_topic_score_gemma":0.000001181272,"domain_scores_codex":[0.9984089,0.0001488144,0.0004163108,0.0004369631,0.0001710671,0.0004179201],"domain_scores_gemma":[0.9974187,0.002203896,0.00003993831,0.0001410027,0.0000224256,0.0001740488],"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":[0.00006055491,0.0001230015,0.00002248426,0.00006585741,0.000008583069,0.000004492851,0.0002147404,0.01151497,0.0005224555,0.9828708,0.000002557007,0.004589498],"study_design_scores_gemma":[0.0002051453,0.0001028687,0.00000923576,0.00004048719,0.00001235927,0.00001623815,0.0002110058,0.5170956,0.00004404059,0.4821967,0.000002549212,0.00006373489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06396156,0.00002399023,0.8927602,0.001163723,0.00001974946,0.0003216367,6.248344e-7,0.0001045877,0.04164395],"genre_scores_gemma":[0.6513562,0.00003853677,0.3481466,0.0002780794,0.00001736962,0.00009901961,0.000001641841,0.000005865581,0.00005670917],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5873947,"threshold_uncertainty_score":0.3597252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1855627636032973,"score_gpt":0.4287226658409666,"score_spread":0.2431599022376694,"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."}}