{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002023216,0.0001706799,0.0002522982,0.00005264428,0.0001325914,0.00006540565,0.0001409471,0.00009288169,0.0008746477],"category_scores_gemma":[0.0000262789,0.0001559325,0.0001050414,0.0001036974,0.0002026647,0.0001803439,0.0001736117,0.0001504895,0.00003983911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002178456,"about_ca_system_score_gemma":0.00001439927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006396975,"about_ca_topic_score_gemma":0.0003393984,"domain_scores_codex":[0.9988012,0.00007780058,0.0003404392,0.0004043586,0.00006645631,0.000309766],"domain_scores_gemma":[0.9994618,0.0001439977,0.00006516856,0.0002116337,0.000001784099,0.0001156588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002186849,0.0003895775,0.7981179,0.00002596847,0.00002562626,0.00001134842,0.00007744251,0.00007551944,0.1845026,0.000008376124,0.001336439,0.01521045],"study_design_scores_gemma":[0.001284049,0.00009509651,0.9875989,0.00003066435,0.00001207509,0.000001690028,0.00001668684,0.0004948815,0.002364864,0.0000310366,0.007909892,0.0001601907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980208,0.00006841719,0.000159232,0.0004701554,0.0003467419,0.0003500266,0.0004222184,0.0000240592,0.0001383225],"genre_scores_gemma":[0.998352,0.00003107029,0.0003652898,0.0004012776,0.00005226765,0.00004092493,0.0001829914,0.00001469019,0.0005594913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1894809,"threshold_uncertainty_score":0.9576779,"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."}}