{"id":"W4400968008","doi":"10.3201/eid3008.231137","title":"Spatiotemporal Modeling of Cholera, Uvira, Democratic Republic of the Congo, 2016−2020","year":2024,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Cholera; Democracy; Geography; Psychological intervention; Cluster analysis; Political science; Medicine; Virology; Computer science; Politics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003360448,0.0003370999,0.0003219162,0.0006432186,0.0004717141,0.0009197508,0.0005041944,0.0005418202,0.001208184],"category_scores_gemma":[0.00132866,0.0002320098,0.0006083942,0.0007348519,0.0003289764,0.0003428156,0.0005108173,0.0003304516,0.0001422979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002104314,"about_ca_system_score_gemma":0.001106351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2958476,"about_ca_topic_score_gemma":0.2207292,"domain_scores_codex":[0.9998912,0.00004293146,0.00000788242,0.00002947548,0.000006059647,0.00002248389],"domain_scores_gemma":[0.9997754,0.00009301287,0.00004822031,0.00001534039,0.00003671719,0.00003135431],"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":[0.00007995687,0.00004317029,0.06911116,0.00003386478,0.0001292996,0.0001280287,0.00009610658,0.9239855,0.0006397748,0.001833036,0.001150149,0.002769812],"study_design_scores_gemma":[0.00001302741,0.00001598937,0.02083911,0.00001760489,0.00003224897,0.00002874556,0.000244379,0.9771485,0.0001445651,0.000429397,0.001075811,0.00001061539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985457,0.0004584004,0.005023846,0.0008490864,0.00002740673,0.00002321573,0.005917065,0.00008363726,0.002160499],"genre_scores_gemma":[0.9947492,0.0002084275,0.00203909,0.00002388846,0.000006524081,0.00003032135,0.002027859,0.00001431539,0.0009002468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2958476,"threshold_uncertainty_score":0.5882511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008342701941779971,"score_gpt":0.2659865414827807,"score_spread":0.2576438395410007,"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."}}