{"id":"W4412773776","doi":"10.1101/2025.07.30.25332375","title":"Clinical and environmental wastewater-based bacteriophage surveillance for high-impact diarrheal diseases, including cholera, in Bangladesh","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fogarty International Center; National Institute of Allergy and Infectious Diseases; International Centre for Diarrhoeal Disease Research, Bangladesh","keywords":"Shigella; Salmonella; Cholera; Norovirus; Enterotoxigenic Escherichia coli; Microbiology; Bacteriophage; Wastewater; Biology; Diarrhea; Vibrio cholerae; Vibrio; Bacteria; Veterinary medicine; Virology; Escherichia coli; Medicine; Virus; Enterotoxin; Environmental engineering; Internal medicine; Environmental science","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":[0.0005281015,0.0003600683,0.000292208,0.000754019,0.0003984147,0.0005511676,0.0002357662,0.0003785215,0.0009976807],"category_scores_gemma":[0.0009045015,0.0002904814,0.000185228,0.0009905424,0.0003006112,0.0003186624,0.0005332443,0.0001959875,0.0002800433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009628141,"about_ca_system_score_gemma":0.0006137295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02430631,"about_ca_topic_score_gemma":0.03231442,"domain_scores_codex":[0.9996316,0.00009574385,0.0000647385,0.00007910797,0.00006470975,0.00006412019],"domain_scores_gemma":[0.9995523,0.00006352618,0.0001386783,0.00001576182,0.0001377976,0.00009188621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008877686,0.00001704867,0.9939809,0.00005502281,0.00001279179,0.0001314196,0.0002867031,0.00006993034,0.003043985,0.00001031415,0.0001061366,0.002196876],"study_design_scores_gemma":[0.000007950922,0.0001696167,0.9961358,0.00002445432,0.00001439258,0.0002271688,0.00203151,0.000188411,0.0006025581,0.00001827477,0.0005721643,0.000007726956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979569,0.0001910935,0.0001549494,0.00005831542,0.000003679737,0.00002504319,0.0009022475,0.000004801255,0.0007029757],"genre_scores_gemma":[0.99911,0.0001378289,0.0001289693,0.00002294718,0.000002076283,0.00001698366,0.0003555029,0.000001107016,0.0002244546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02430631,"threshold_uncertainty_score":0.04832965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290025672994402,"score_gpt":0.3330589143078563,"score_spread":0.3101586575779123,"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."}}