{"id":"W4289754867","doi":"10.1002/cjs.11722","title":"Estimation of SARS‐CoV‐2 antibody prevalence through serological uncertainty and daily incidence","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Genome British Columbia; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Australian Government","keywords":"Serology; Estimation; Coronavirus disease 2019 (COVID-19); Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Population; Incidence (geometry); Geography; Demography; Antibody; Immunology; Mathematics; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.00866476,0.0005608171,0.001083625,0.002066602,0.0005238815,0.002214576,0.001466644,0.001046338,0.001289715],"category_scores_gemma":[0.04372315,0.0007285126,0.001005082,0.00158555,0.001556002,0.001943618,0.001359768,0.001283129,0.0001660697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003458832,"about_ca_system_score_gemma":0.002478637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1930135,"about_ca_topic_score_gemma":0.1332746,"domain_scores_codex":[0.9969541,0.001480926,0.0001546568,0.000626325,0.0005105448,0.000273446],"domain_scores_gemma":[0.9815121,0.01387537,0.002020973,0.001016668,0.001360737,0.0002141343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001670329,0.00005596369,0.1861164,0.0001270112,0.0003993534,0.00028763,0.0005632806,0.7188143,0.0008296956,0.04710852,0.001686775,0.04384414],"study_design_scores_gemma":[0.00002246384,0.00004063861,0.04663897,0.00009143059,0.00009132671,0.0001774441,0.0001739488,0.9160359,0.0004447465,0.0339192,0.002304059,0.00005986217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5778503,0.001649287,0.4094042,0.002204114,0.00006100509,0.0001337128,0.002200781,0.0002640124,0.006232533],"genre_scores_gemma":[0.978708,0.0004495016,0.01827531,0.0001002038,0.00003726333,0.00003501444,0.00100638,0.00002421887,0.001364233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1930135,"threshold_uncertainty_score":0.3837801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06271057221757681,"score_gpt":0.3712889647392347,"score_spread":0.3085783925216579,"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."}}