{"id":"W4200012999","doi":"10.3390/vaccines10010017","title":"COVID-19 Seroprevalence in Canada Modelling Waning and Boosting COVID-19 Immunity in Canada a Canadian Immunization Research Network Study","year":2021,"lang":"en","type":"article","venue":"Vaccines","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; McGill University; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Immunization Research Network","keywords":"Seroprevalence; Vaccination; Immunity; Herd immunity; Coronavirus disease 2019 (COVID-19); Medicine; Immunization; Booster (rocketry); Immunology; Population; Pandemic; Virology; Disease; Infectious disease (medical specialty); Environmental health; Immune system; Antibody; Serology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002425275,0.0002382541,0.0004779691,0.0004951829,0.0006648087,0.00007743877,0.0003326758,0.00008417786,0.00005098793],"category_scores_gemma":[0.005219065,0.0002521783,0.00002235245,0.002802319,0.00002829377,0.0001338567,0.0003111965,0.001073929,0.000001314375],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01434735,"about_ca_system_score_gemma":0.1589604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999957,"about_ca_topic_score_gemma":0.9999995,"domain_scores_codex":[0.9958335,0.0009060174,0.0005851795,0.0005967254,0.0008420388,0.001236529],"domain_scores_gemma":[0.9968485,0.00136674,0.00007190248,0.0006268094,0.0004264895,0.0006595472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001527751,0.00004233553,0.9598377,0.0003763835,0.00002814661,0.002780694,0.001843319,0.03364047,0.0002458173,0.00001673202,0.0005721243,0.0004635192],"study_design_scores_gemma":[0.008804356,0.0002610614,0.4699569,0.0009378202,0.0000674827,0.0003488253,0.08755932,0.4072809,0.0006909284,0.0003656812,0.02268152,0.001045201],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930271,0.002907731,0.000104339,0.002657673,0.000123706,0.0008802558,0.0000168674,0.0000187656,0.0002635562],"genre_scores_gemma":[0.9796792,0.00009657197,0.0001130296,0.01986189,0.00009565259,0.00006578658,0.00001988629,0.00003746494,0.00003055792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4898808,"threshold_uncertainty_score":0.999993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1126043439176654,"score_gpt":0.3728677344603287,"score_spread":0.2602633905426633,"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."}}