{"id":"W4306248048","doi":"10.2196/36424","title":"The Relationship Between Population-Level SARS-CoV-2 Cycle Threshold Values and Trend of COVID-19 Infection: Longitudinal Study","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Autoregressive integrated moving average; Statistics; Population; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demography; Distributed lag; Mathematics; Time series; Internal medicine; Infectious disease (medical specialty)","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":[0.001928838,0.0001971833,0.0002605086,0.0005606749,0.0003645979,0.0005685932,0.0003129817,0.0003666981,0.0008832251],"category_scores_gemma":[0.002667808,0.0002313648,0.0003939791,0.000828445,0.0001888538,0.000583981,0.0003036889,0.0007921989,0.0002234449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339584,"about_ca_system_score_gemma":0.000547519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004122402,"about_ca_topic_score_gemma":0.004724029,"domain_scores_codex":[0.9994482,0.0001373799,0.00005233375,0.000167968,0.00008388343,0.0001102683],"domain_scores_gemma":[0.9982024,0.0002941949,0.000760945,0.0002131589,0.0003475646,0.0001816129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001197851,0.000038734,0.9985113,0.000005361386,0.00004369012,0.00002214822,0.00005874065,0.00006321274,0.0001765349,0.00002803099,0.00007034762,0.0008622209],"study_design_scores_gemma":[0.000006136986,0.000236417,0.9978587,0.000006556194,0.00004540977,0.0001249184,0.0001422017,0.001060431,0.0001456541,0.00005021234,0.0003176569,0.000005788564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980639,0.0002234142,0.0004764407,0.00004246174,0.000007496601,0.00001456539,0.0008328289,0.000005821034,0.0003331765],"genre_scores_gemma":[0.9985788,0.0000860026,0.0002832412,0.00002029223,0.000007678791,0.00002377312,0.0008119266,0.000002753088,0.0001855075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004122402,"threshold_uncertainty_score":0.0102008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2351191797964516,"score_gpt":0.4216683096879742,"score_spread":0.1865491298915226,"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."}}