{"id":"W3118468172","doi":"10.1007/s11538-020-00857-1","title":"Modeling Rabies Transmission in Spatially Heterogeneous Environments via $$\\theta $$-diffusion","year":2021,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Rabies epidemiology and control","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rabies; Epizootic; Transmission (telecommunications); Population; Homogeneous; Diffusion; Traveling wave; Statistical physics; Geography; Virology; Biology; Computer science; Mathematics; Physics; Outbreak; Mathematical analysis; Environmental health; Medicine; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005345064,0.0002173332,0.0007332425,0.00006747538,0.00007201673,0.000002341138,0.0002240209,0.0005926112,0.005970939],"category_scores_gemma":[0.000438721,0.0001748993,0.0001758191,0.00004691539,0.0003108116,0.000009044872,0.0001170063,0.0003117628,0.0006549361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002036619,"about_ca_system_score_gemma":0.00002550089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000444706,"about_ca_topic_score_gemma":0.000007967202,"domain_scores_codex":[0.9975758,0.0007861101,0.0007811961,0.0004097429,0.00003162747,0.000415542],"domain_scores_gemma":[0.9988832,0.0006106573,0.0001136507,0.0003276459,0.00003265172,0.00003220616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004791855,0.0009487686,0.0008195108,0.0001085185,0.0002118539,0.00004204804,0.0003004296,0.001849427,0.9720679,0.00692087,0.0002114787,0.01604003],"study_design_scores_gemma":[0.01570563,0.001915953,0.001018308,0.0008166676,0.0004473805,0.001615366,0.0004720206,0.03327946,0.5116183,0.2796553,0.151531,0.001924602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8544769,0.008140401,0.1281337,0.005768528,0.0002766708,0.0003964927,0.00001749039,0.00005089034,0.002738951],"genre_scores_gemma":[0.99616,0.0003921133,0.001703769,0.000484994,0.00001557644,0.00003093839,0.0000690576,0.00001624591,0.001127286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4604496,"threshold_uncertainty_score":0.9949377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293922351867255,"score_gpt":0.2316237419443161,"score_spread":0.2186845184256436,"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."}}