{"id":"W2076773642","doi":"10.1080/17513758.2014.944226","title":"Modelling and control of cholera on networks with a common water source","year":2014,"lang":"en","type":"article","venue":"Journal of Biological Dynamics","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Banff International Research Station for Mathematical Innovation and Discovery; University of Central Florida","keywords":"Basic reproduction number; Cholera; Homogeneous; Population; Transmission (telecommunications); Reproduction; Host (biology); Biology; Mathematics; Computer science; Ecology; Demography; Telecommunications; Virology; Combinatorics","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":[0.0008817342,0.00112362,0.001204867,0.001071865,0.0007047215,0.001564036,0.001984776,0.001903872,0.001556474],"category_scores_gemma":[0.003997413,0.0005851982,0.0009428172,0.0008841812,0.001953248,0.002060951,0.001618309,0.001008525,0.0001966696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00219997,"about_ca_system_score_gemma":0.001274199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02463005,"about_ca_topic_score_gemma":0.01565459,"domain_scores_codex":[0.999448,0.0002137361,0.00002494914,0.0001155071,0.00008446443,0.00011336],"domain_scores_gemma":[0.998218,0.001130559,0.0003778565,0.00004174626,0.0001312748,0.0001005475],"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":[0.00001864894,0.00001307821,0.0003883805,0.00003269647,0.00001452909,0.00007241408,0.00005145294,0.9724597,0.0005203766,0.02495866,0.0001657698,0.001304224],"study_design_scores_gemma":[0.000007128297,0.00001803529,0.000115521,0.000005966483,0.00000698234,0.00001404435,0.00001920606,0.990781,0.00004904431,0.008739096,0.0002383201,0.000005555156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2665382,0.002451723,0.7087663,0.002648514,0.0001942074,0.0001785693,0.0006360122,0.0002745657,0.01831189],"genre_scores_gemma":[0.9640648,0.001635175,0.02184673,0.0001093148,0.0001100054,0.0002663172,0.0001823125,0.00004494794,0.01174043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02463005,"threshold_uncertainty_score":0.04897338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866632711301493,"score_gpt":0.2439836326387831,"score_spread":0.2253173055257682,"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."}}