{"id":"W3048906571","doi":"10.1038/s41598-020-69869-0","title":"Setting a baseline for global urban virome surveillance in sewage","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Horizon 2020 Framework Programme; Novo Nordisk; European Commission; Novo Nordisk Fonden; World Health Organization","keywords":"Baseline (sea); Human virome; Sewage; Environmental health; Computer science; Biology; Medicine; Environmental science; Metagenomics; Genetics; Environmental engineering; Fishery; Gene","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":[0.005003794,0.0005599654,0.0007477672,0.001018556,0.0008421479,0.002057937,0.0007742621,0.001255988,0.00232882],"category_scores_gemma":[0.006800449,0.0003587034,0.0003974354,0.001542605,0.0005646492,0.001687571,0.00352333,0.0009163434,0.0008734721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011672,"about_ca_system_score_gemma":0.00147083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004154841,"about_ca_topic_score_gemma":0.007411684,"domain_scores_codex":[0.997183,0.001432898,0.000162606,0.0005757708,0.0003316027,0.000314145],"domain_scores_gemma":[0.9973182,0.0004409674,0.0004627848,0.0004529849,0.001001824,0.000323107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00144638,0.0005599333,0.8615879,0.00104982,0.0002929824,0.0005325929,0.003879177,0.004406372,0.04806854,0.004421102,0.008953108,0.06480204],"study_design_scores_gemma":[0.00008105722,0.00213656,0.8833369,0.0007683163,0.0003011836,0.0008707345,0.01246233,0.007973869,0.02217147,0.00905937,0.06071461,0.0001235768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933781,0.001865116,0.03899311,0.001942136,0.0002074698,0.0006108001,0.01439261,0.0004495928,0.007758209],"genre_scores_gemma":[0.9299729,0.0007438125,0.05028593,0.001305486,0.00009187088,0.001284812,0.01503134,0.0001128508,0.001170926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005003794,"threshold_uncertainty_score":0.02646291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059163799389309,"score_gpt":0.2423540070155611,"score_spread":0.231762369021668,"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."}}