{"id":"W4411151395","doi":"10.1063/5.0245376","title":"An accelerated hybrid framework for stochastic simulations of reaction–diffusion epidemic models","year":2025,"lang":"en","type":"article","venue":"AIP Advances","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Diffusion; Statistical physics; Reaction–diffusion system; Computer science; Physics; Thermodynamics","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":[0.00009844569,0.0001136894,0.0001795382,0.00007259297,0.0001041929,0.00000795448,0.0001500031,0.00009046663,0.000004998864],"category_scores_gemma":[0.0001241574,0.0001128732,0.00009290147,0.0001888047,0.00004888564,0.00001418801,0.00003088117,0.0000522582,4.534142e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001405455,"about_ca_system_score_gemma":0.00005798825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000606028,"about_ca_topic_score_gemma":0.00002111015,"domain_scores_codex":[0.9991919,0.00004230842,0.0002461182,0.0002971881,0.00006943456,0.0001529984],"domain_scores_gemma":[0.9992077,0.00008419668,0.0001272204,0.0003704726,0.0001698826,0.00004049051],"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":[0.0000807547,0.00006614707,0.0005946852,0.00002055125,0.00006724189,7.850331e-8,0.000009167094,0.7251212,0.2675368,0.001226762,0.0001412545,0.005135295],"study_design_scores_gemma":[0.0006267327,0.0002728405,0.001024493,0.00009690255,0.0002266864,0.000001496894,0.0001009238,0.7307829,0.12871,0.1321228,0.00571162,0.0003227462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4571505,0.001699685,0.5408321,0.00004270002,0.00008167358,0.000134191,0.00002025349,0.000009923778,0.00002893802],"genre_scores_gemma":[0.9904389,0.0001848738,0.008792076,0.0001146733,0.000105257,0.00002775563,0.0002277141,0.00001253572,0.00009625726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5332883,"threshold_uncertainty_score":0.4602835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886158915210444,"score_gpt":0.3236045487222353,"score_spread":0.3047429595701308,"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."}}