{"id":"W4200228241","doi":"10.1093/ofid/ofab632","title":"Adapting Serosurveys for the SARS-CoV-2 Vaccine Era","year":2021,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Montreal Children's Hospital; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Institute of Infection and Immunity; Sinai Health System; University of Waterloo; McGill University Health Centre; University of Calgary; McGill University; University of Toronto","funders":"Public Health Agency of Canada","keywords":"Medicine; Pandemic; Herd immunity; Immunology; Coronavirus disease 2019 (COVID-19); Population; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Vaccination; Environmental health; Infectious disease (medical specialty); Disease; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0004798537,0.0002550797,0.0004397308,0.00008660459,0.0006579999,0.0004349788,0.0004097128,0.00009202441,0.00006553081],"category_scores_gemma":[0.001350562,0.0001846865,0.0003020579,0.0005500569,0.00005877375,0.0002851351,0.0005579838,0.0002637722,0.0001248337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001380414,"about_ca_system_score_gemma":0.0008246425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031481,"about_ca_topic_score_gemma":0.0020816,"domain_scores_codex":[0.9979873,0.0001390693,0.0003366586,0.0005235191,0.0003667838,0.0006467036],"domain_scores_gemma":[0.9978082,0.0007830727,0.0001002539,0.0007639198,0.0004766209,0.00006793768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001040376,0.001232702,0.8425628,0.000287371,0.000744158,0.0002539851,0.0001116188,0.000006803426,0.04397256,0.002220057,0.06876649,0.03880108],"study_design_scores_gemma":[0.01013322,0.00104076,0.1119468,0.0002632977,0.0006454937,0.0003773376,0.0006989746,0.001810739,0.1832192,0.003433889,0.6857836,0.0006466515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476503,0.004432667,0.002687803,0.008303522,0.0008105646,0.004066812,0.0002395124,0.0003361979,0.03147264],"genre_scores_gemma":[0.9248243,0.0000215526,0.0000812787,0.07384861,0.0002543989,0.0005769372,0.00004222735,0.00006867698,0.0002819997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.730616,"threshold_uncertainty_score":0.7531298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05393963941547881,"score_gpt":0.3731008351826496,"score_spread":0.3191611957671708,"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."}}