{"id":"W4413286269","doi":"10.1128/mbio.01963-25","title":"Rapid, low-cost colorimetric detection of <i>Salmonella</i> Typhi bacteriophages for environmental surveillance","year":2025,"lang":"en","type":"article","venue":"mBio","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; University Health Network","funders":"Stanford University Center for Innovation in Global Health; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation","keywords":"Salmonella typhi; Typhoid fever; Sanitation; Microbiology; Agar; Salmonella; Environmental health; Veterinary medicine; Biology; Bacteria; Medicine; Environmental science; Environmental engineering; Escherichia coli","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":[0.0008816709,0.0007684437,0.0003048387,0.0009318712,0.0002305146,0.0007312702,0.0004480484,0.0006909164,0.001060139],"category_scores_gemma":[0.0009824506,0.0003481118,0.0003429243,0.000408174,0.0002460601,0.0003153287,0.0005098921,0.0004697411,0.0007496043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384023,"about_ca_system_score_gemma":0.0003202757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008243824,"about_ca_topic_score_gemma":0.001498815,"domain_scores_codex":[0.999062,0.0003022339,0.00005906687,0.000176424,0.0003166823,0.00008357941],"domain_scores_gemma":[0.9994557,0.0001484672,0.0001203217,0.0000509712,0.000171248,0.00005327736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005737029,0.00005826207,0.006674718,0.0001187666,0.00001276592,0.00005641377,0.00003311366,0.0002204286,0.9839808,0.00007116213,0.0002720742,0.008444097],"study_design_scores_gemma":[0.00001822679,0.000694083,0.02662919,0.00008292558,0.00004104887,0.0008575409,0.0002013268,0.008443277,0.9568611,0.0001157872,0.006011459,0.00004394993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8667517,0.003407971,0.1193778,0.0003774848,0.0002113818,0.0005654895,0.002559324,0.001153778,0.005595005],"genre_scores_gemma":[0.8409635,0.00128515,0.1524498,0.0002361579,0.00004662707,0.0003752235,0.001537255,0.00005070978,0.003055394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001060139,"threshold_uncertainty_score":0.004662812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228797190598695,"score_gpt":0.2158989076252328,"score_spread":0.2036109357192459,"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."}}