{"id":"W4396853983","doi":"10.1016/j.heliyon.2024.e31026","title":"Live virus neutralizing antibodies against pre and post Omicron strains in food and retail workers in Québec, Canada","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"PROTEO; Regroupement Québécois sur les Matériaux de Pointe; Centre hospitalier universitaire de Québec; Institut National de Santé Publique du Québec; Université Laval; Université de Montréal","funders":"Canada First Research Excellence Fund; Canada Research Chairs; Public Health Agency of Canada; Université Laval","keywords":"Neutralization; Antibody; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Coronavirus disease 2019 (COVID-19); Neutralizing antibody; 2019-20 coronavirus outbreak; Virus; Biology; Medicine; Immunology; Infectious disease (medical specialty)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003390185,0.0004394718,0.0002255511,0.0005207356,0.002487633,0.0007020005,0.0009135607,0.0005265258,0.002497666],"category_scores_gemma":[0.0005633738,0.0002778145,0.0002297083,0.001008604,0.0005792163,0.0002562787,0.000356118,0.0005682625,0.0003725329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01724373,"about_ca_system_score_gemma":0.01165894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936281,"about_ca_topic_score_gemma":0.9966404,"domain_scores_codex":[0.9996239,0.00002457588,0.00001532839,0.00008015597,0.0001056258,0.0001503786],"domain_scores_gemma":[0.999183,0.00004088338,0.0001041706,0.00001401683,0.0004094118,0.0002484312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001637101,0.0001172644,0.9875005,0.00006472135,0.00002693884,0.0001623721,0.001839387,0.00009816777,0.001918964,0.00006453546,0.001468824,0.006574518],"study_design_scores_gemma":[0.00001041753,0.00009702356,0.9967675,0.00002838509,0.00001034165,0.00005787566,0.001982022,0.000137557,0.0001192146,0.000007260968,0.0007748025,0.000007523725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965694,0.0003709663,0.0000731235,0.0001594002,0.00000866479,0.00004150758,0.001207838,0.000006655936,0.001562403],"genre_scores_gemma":[0.9968852,0.0002417097,0.0001230094,0.0001544258,0.000003464058,0.00001598113,0.0006522459,0.000002631393,0.001921283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01724373,"threshold_uncertainty_score":0.1251126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678259694213701,"score_gpt":0.2995669505066957,"score_spread":0.2727843535645587,"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."}}