{"id":"W4306893697","doi":"10.1016/j.epidem.2022.100645","title":"Timeliness of reporting of SARS-CoV-2 seroprevalence results and their utility for infectious disease surveillance","year":2022,"lang":"en","type":"review","venue":"Epidemics","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; McMaster University; University of Toronto; University of New Brunswick; McGill University; University of Calgary","funders":"Robert Koch Institut; Canadian Medical Association; Public Health Agency of Canada; World Health Organization","keywords":"Seroprevalence; Representativeness heuristic; Medicine; Population; Sample (material); Public health; Sampling frame; Environmental health; Demography; Statistics; Serology; Immunology; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006888109,0.000392631,0.003038512,0.000210816,0.0000842199,0.000008231598,0.0002808566,0.0002215574,0.000003025676],"category_scores_gemma":[0.05369878,0.0003002488,0.0006934438,0.0005726235,0.0002351438,0.0000488667,0.0003128043,0.0006167731,0.000001069761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001299046,"about_ca_system_score_gemma":0.001266929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001726281,"about_ca_topic_score_gemma":0.00002951751,"domain_scores_codex":[0.9945322,0.0004533248,0.003491309,0.0007492658,0.0003896525,0.0003842473],"domain_scores_gemma":[0.9899966,0.004466702,0.003924205,0.001134839,0.0004173424,0.00006037929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007643169,0.0002241881,0.0312955,0.166369,0.0003194827,0.00004517005,0.0001098495,5.885836e-7,0.0002087065,0.00002210661,0.0008251713,0.7998159],"study_design_scores_gemma":[0.0007252231,0.0001660085,0.0005240862,0.006301831,0.0003174041,0.00007304614,0.00001649013,0.001199942,0.0004126083,0.0001811853,0.9898172,0.0002650025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01483801,0.98116,0.0002816701,0.00004498283,0.0002058616,0.002034878,0.001076392,0.00005561174,0.0003025552],"genre_scores_gemma":[0.004276447,0.9937847,0.0001908048,0.001042472,0.0002137201,0.0002384893,0.0001530971,0.00008038299,0.00001987882],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.988992,"threshold_uncertainty_score":0.999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2380033778189871,"score_gpt":0.4589039287622115,"score_spread":0.2209005509432244,"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."}}