{"id":"W2888006402","doi":"10.1016/j.jmaa.2018.08.039","title":"A cholera epidemic model in a spatiotemporally heterogeneous environment","year":2018,"lang":"en","type":"article","venue":"Journal of Mathematical Analysis and Applications","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Simons Foundation; American Institute of Mathematics; National Science Foundation","keywords":"Cholera; Basic reproduction number; Transmission (telecommunications); Eigenvalues and eigenvectors; Disease transmission; Diffusion; Epidemic model; Mathematics; Statistical physics; Biological system; Biology; Computer science; Virology; Physics; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009063809,0.0001055722,0.0007032785,0.0002006241,0.00005384719,0.000006301695,0.00007841361,0.0001147098,0.0005552273],"category_scores_gemma":[0.0001595069,0.0000684356,0.0002302979,0.0002247209,0.0003343773,0.00003567947,0.00003405147,0.0002006578,0.00004549272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002211844,"about_ca_system_score_gemma":0.0000231617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001187096,"about_ca_topic_score_gemma":0.000001311333,"domain_scores_codex":[0.9986801,0.00004313522,0.000828765,0.000154502,0.0001306594,0.0001628302],"domain_scores_gemma":[0.9990224,0.0003017407,0.000228029,0.0001864701,0.00006572944,0.0001955868],"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":[0.000332513,0.003206641,0.00858028,0.0003851246,0.002276449,0.00003904306,0.001230402,0.005678968,0.001314378,0.9696411,0.0001026352,0.007212475],"study_design_scores_gemma":[0.0004078254,0.0001904088,0.001297795,0.00004477012,0.001010678,0.0001227382,0.00001711211,0.5728989,0.0001110192,0.4235711,0.0002490388,0.00007854235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1672261,0.0001028906,0.8272959,0.003891111,0.000002706047,0.000156928,0.000001878366,0.000004926911,0.001317526],"genre_scores_gemma":[0.9680901,0.0001272113,0.03066964,0.0008740221,0.00007600802,0.00002904296,0.000001841884,0.000005900621,0.0001262455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.800864,"threshold_uncertainty_score":0.607935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457318289953564,"score_gpt":0.3011179381010737,"score_spread":0.2765447552015381,"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."}}