{"id":"W4205953307","doi":"10.3390/w14030297","title":"Monitoring of SARS-CoV-2 Variants by Wastewater-Based Surveillance as a Sustainable and Pragmatic Approach—A Case Study of Jaipur (India)","year":2022,"lang":"en","type":"article","venue":"Water","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; Pandemic; Wastewater; 2019-20 coronavirus outbreak; 1000 Genomes Project; Medicine; Environmental health; Single-nucleotide polymorphism; Biology; Virology; Veterinary medicine; Internal medicine; Genetics; Environmental science; Genotype; Environmental engineering; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003761573,0.0004129205,0.0002633724,0.0008303524,0.001259901,0.001293649,0.0009928652,0.001173148,0.0008128517],"category_scores_gemma":[0.0007117778,0.0002558522,0.0003923549,0.0008668264,0.0008131601,0.0004321991,0.0008664362,0.000738062,0.0001882232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042788,"about_ca_system_score_gemma":0.001118568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03407478,"about_ca_topic_score_gemma":0.04761698,"domain_scores_codex":[0.9993973,0.0001870973,0.00003920592,0.0001048702,0.0001250822,0.0001464644],"domain_scores_gemma":[0.9994579,0.0001463167,0.0001262784,0.00004318649,0.0001193391,0.0001069712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004694351,0.001275129,0.6272001,0.000600048,0.0001354025,0.2630875,0.02733409,0.003727364,0.02833679,0.001723835,0.002715989,0.04339421],"study_design_scores_gemma":[0.00004034697,0.002205169,0.6946863,0.0002908727,0.0002231356,0.1199522,0.1404697,0.007223156,0.01753916,0.001033425,0.01614782,0.0001887069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963298,0.0001433486,0.0006841834,0.0003943665,0.00001093469,0.00006893348,0.0001438154,0.00001419387,0.00221052],"genre_scores_gemma":[0.9970644,0.0002851051,0.001225273,0.0002109042,0.00001284575,0.00002303248,0.00008245648,0.00000726505,0.001088754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03407478,"threshold_uncertainty_score":0.0677529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03273383229233696,"score_gpt":0.2928394445450275,"score_spread":0.2601056122526906,"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."}}