{"id":"W4417159155","doi":"10.1128/mbio.02654-25","title":"Clinical and environmental wastewater-based bacteriophage surveillance for high-impact diarrheal diseases, including cholera, in Bangladesh","year":2025,"lang":"en","type":"article","venue":"mBio","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Allergy and Infectious Diseases; Fogarty International Center; National Institutes of Health; International Centre for Diarrhoeal Disease Research, Bangladesh; Wellcome Trust","keywords":"Bacteriophage; Norovirus; Cholera; Wastewater; Transmission (telecommunications); Diarrhea","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":[0.0005290368,0.0003598651,0.0002916791,0.0007551407,0.000398782,0.0005507688,0.0002359767,0.0003786501,0.0009937799],"category_scores_gemma":[0.0009063421,0.0002908951,0.0001852805,0.0009884533,0.0003010159,0.0003189864,0.0005340768,0.0001958046,0.0002791713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009635611,"about_ca_system_score_gemma":0.0006127213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02419915,"about_ca_topic_score_gemma":0.03219742,"domain_scores_codex":[0.9996306,0.00009612425,0.00006499008,0.00007923172,0.00006469098,0.00006439337],"domain_scores_gemma":[0.9995524,0.00006341748,0.0001386965,0.00001579065,0.0001373981,0.00009228334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008813282,0.00001685217,0.9940788,0.00005408372,0.00001269274,0.0001306103,0.0002825233,0.00006906821,0.002984389,0.00001021078,0.0001047396,0.002167984],"study_design_scores_gemma":[0.000007955597,0.0001684962,0.9961675,0.00002420396,0.00001432144,0.0002271488,0.002014204,0.000187737,0.0005966792,0.00001817187,0.0005659501,0.000007678775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979761,0.0001897038,0.0001542438,0.00005788878,0.000003661081,0.00002484691,0.0008912796,0.000004767742,0.0006974979],"genre_scores_gemma":[0.9991192,0.0001365049,0.0001279366,0.00002285588,0.000002067669,0.0000168387,0.0003520839,0.000001100204,0.0002213831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02419915,"threshold_uncertainty_score":0.04811662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181401035224977,"score_gpt":0.2924623550148424,"score_spread":0.2806483446625926,"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."}}