{"id":"W2133293794","doi":"10.1142/s021833901340007x","title":"MODELING CHOLERA DISEASE WITH EDUCATION AND CHLORINATION","year":2013,"lang":"en","type":"article","venue":"Journal of Biological Systems","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Ottawa","funders":"","keywords":"Cholera; Vibrio cholerae; Basic reproduction number; Waterborne diseases; Latin hypercube sampling; Diarrhea; Disease; Biology; Bacteria; Mathematics; Environmental health; Microbiology; Medicine; Virology; Statistics; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003984443,0.0006798232,0.0007255521,0.0004787525,0.0004393797,0.001065843,0.0009593492,0.001764208,0.002759893],"category_scores_gemma":[0.002059851,0.0003755637,0.00097011,0.0003440869,0.0009817053,0.000791084,0.001149755,0.0008553879,0.0002216599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157273,"about_ca_system_score_gemma":0.001446076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03433261,"about_ca_topic_score_gemma":0.01479345,"domain_scores_codex":[0.9997544,0.00009232214,0.00000886768,0.00004030737,0.00002274278,0.00008139501],"domain_scores_gemma":[0.9989091,0.0006373883,0.0002208745,0.00002711942,0.0001051425,0.0001003481],"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":[0.00003044249,0.00003572707,0.001065457,0.00001833244,0.00001234343,0.00005163524,0.00003179453,0.9932834,0.0004168205,0.004212903,0.000152679,0.00068846],"study_design_scores_gemma":[0.00002298416,0.00003559513,0.0003014845,0.000005201044,0.00001245759,0.0000112508,0.00003387996,0.997215,0.00009301936,0.001950359,0.000311705,0.000006873095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8631126,0.0009542279,0.1033351,0.00267215,0.0001878006,0.0001402597,0.0008553052,0.0002309813,0.02851155],"genre_scores_gemma":[0.9874871,0.0002932277,0.005309153,0.0001101052,0.00002665034,0.00007757447,0.0001109053,0.00001793955,0.00656731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03433261,"threshold_uncertainty_score":0.06826556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112318108479104,"score_gpt":0.2690679474836676,"score_spread":0.2479447663988766,"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."}}