{"id":"W4387259365","doi":"10.3390/w15193460","title":"Wastewater-Based Epidemiology of SARS-CoV-2 and Other Respiratory Viruses: Bibliometric Tracking of the Last Decade and Emerging Research Directions","year":2023,"lang":"en","type":"article","venue":"Water","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Health Canada","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Epidemiology; Normalization (sociology); Data science; 2019-20 coronavirus outbreak; Geography; Medicine; Disease; Virology; Computer science; Infectious disease (medical specialty); Social science; Outbreak; Pathology; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009445489,0.000475735,0.001202766,0.0721487,0.0007118304,0.004173136,0.000611764,0.0007065756,0.002308567],"category_scores_gemma":[0.04225336,0.0002431162,0.00147227,0.1208967,0.0007035214,0.003826075,0.001372994,0.0005437015,0.0004636087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170162,"about_ca_system_score_gemma":0.003768442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006807939,"about_ca_topic_score_gemma":0.01176547,"domain_scores_codex":[0.9907635,0.002021776,0.002748675,0.001515176,0.002593395,0.0003574166],"domain_scores_gemma":[0.92477,0.04529428,0.01521373,0.002212626,0.01130286,0.001206597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003106918,0.0000781627,0.6433133,0.04068924,0.002420465,0.0005131629,0.003756065,0.001235637,0.001890926,0.004392181,0.01664724,0.2847529],"study_design_scores_gemma":[0.00002768497,0.000148935,0.8457775,0.01063022,0.002614773,0.001643577,0.006710564,0.002371037,0.001605395,0.00308265,0.1252797,0.000107987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4373261,0.453127,0.005067734,0.009292416,0.0008943803,0.0002566955,0.07652227,0.0004160778,0.01709729],"genre_scores_gemma":[0.7655758,0.1897717,0.007507323,0.000929185,0.0009083212,0.0003311326,0.03281701,0.0001153255,0.002044218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9278513,"threshold_uncertainty_score":0.0499531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3259253457794469,"score_gpt":0.4505700171483545,"score_spread":0.1246446713689076,"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."}}