{"id":"W4310041501","doi":"10.3390/vaccines10122000","title":"Serology Assays Used in SARS-CoV-2 Seroprevalence Surveys Worldwide: A Systematic Review and Meta-Analysis of Assay Features, Testing Algorithms, and Performance","year":2022,"lang":"en","type":"review","venue":"Vaccines","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto; University of Calgary","funders":"Robert Koch Institut; Public Health Agency of Canada; World Health Organization","keywords":"Seroprevalence; Serology; Meta-analysis; Population; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Comparability; Statistics; Virology; Veterinary medicine; Internal medicine; Immunology; Antibody; Environmental health; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.03350282,0.002330416,0.01113532,0.008566191,0.0004995143,0.0032741,0.002034006,0.001782223,0.001671367],"category_scores_gemma":[0.07977329,0.001389441,0.02760381,0.009378789,0.0009653176,0.001998967,0.001469188,0.001408215,0.0002229244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002474416,"about_ca_system_score_gemma":0.004729882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006963265,"about_ca_topic_score_gemma":0.01188913,"domain_scores_codex":[0.9732142,0.01343819,0.007360981,0.002743303,0.00278357,0.0004597089],"domain_scores_gemma":[0.9109368,0.07203572,0.01014606,0.002322061,0.004197486,0.0003618286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001642724,0.00003713041,0.02206846,0.5106772,0.410425,0.0001140277,0.0002028846,0.001086385,0.0003164291,0.0002753439,0.001443474,0.05171096],"study_design_scores_gemma":[0.0002977638,0.0002608777,0.0158434,0.09171493,0.885936,0.0002147629,0.0001186483,0.0004079543,0.0003563747,0.0004418292,0.004362451,0.00004500421],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00433799,0.9938982,0.0006399783,0.0002273628,0.00007359045,0.00009202824,0.0005501946,0.00001820336,0.0001623683],"genre_scores_gemma":[0.1535752,0.8402207,0.003191748,0.0008853972,0.0002197151,0.0004963416,0.001229764,0.00005758648,0.0001235469],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03350282,"threshold_uncertainty_score":0.177182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2058210947044642,"score_gpt":0.4108649288806764,"score_spread":0.2050438341762122,"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."}}