{"id":"W4387226223","doi":"10.2196/43891","title":"Monitoring SARS-CoV-2 Using Infoveillance, National Reporting Data, and Wastewater in Wales, United Kingdom: Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wastewater; Pandemic; Environmental health; Public health; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Statistics; Business; Medicine; Environmental science; Environmental engineering; Mathematics; Infectious disease (medical specialty); Disease; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00869583,0.0009760407,0.001107365,0.002083195,0.0007565547,0.001858247,0.001429494,0.0009880832,0.002151153],"category_scores_gemma":[0.01946956,0.0008628137,0.002856067,0.00286607,0.0006622277,0.001233457,0.002075011,0.0009267927,0.0005154221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002782479,"about_ca_system_score_gemma":0.002205591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09400421,"about_ca_topic_score_gemma":0.09303038,"domain_scores_codex":[0.9852961,0.009123776,0.001812693,0.00173828,0.001099434,0.0009297331],"domain_scores_gemma":[0.9871252,0.005031059,0.004250782,0.001415493,0.001693741,0.0004837621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008568413,0.0002217912,0.983823,0.001004141,0.001877952,0.0002946191,0.001601213,0.0003444854,0.0003215155,0.000279591,0.001192293,0.008182487],"study_design_scores_gemma":[0.0001123829,0.001341613,0.9819183,0.0007005581,0.001353449,0.0006823491,0.006812773,0.003603008,0.0003836721,0.0001683936,0.002844773,0.0000787843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897923,0.002913616,0.002182509,0.0003410197,0.00005296076,0.0004356506,0.003480118,0.00001816731,0.0007835372],"genre_scores_gemma":[0.9921822,0.0006870412,0.002561076,0.000434752,0.00003492572,0.001098993,0.001905694,0.00001632335,0.00107909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09400421,"threshold_uncertainty_score":0.1869141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3941936215752593,"score_gpt":0.5256987259580207,"score_spread":0.1315051043827614,"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."}}