{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001550259,0.0001378188,0.0002186295,0.0002064086,0.00003848924,0.00005635503,0.00005114608,0.00008139734,0.000004501653],"category_scores_gemma":[0.00007035554,0.0001237088,0.00002272939,0.0002087649,0.00007736651,0.00008627978,0.00005681927,0.0003520708,0.000003287599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909591,"about_ca_system_score_gemma":0.001214584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6621984,"about_ca_topic_score_gemma":0.9852167,"domain_scores_codex":[0.9989788,0.00003897863,0.0001906676,0.0003080957,0.0001704195,0.0003130556],"domain_scores_gemma":[0.9996888,0.00009729647,0.00001590067,0.0001240905,0.00002672452,0.00004717301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000249131,0.0000452595,0.7475659,0.002332356,0.00005986403,0.001016666,0.004374274,0.000001936978,0.2282661,0.00002895361,0.0002528071,0.01580681],"study_design_scores_gemma":[0.001488176,0.0003515643,0.9332782,0.004186329,0.00002563278,0.00005866705,0.005446623,0.0003306548,0.02777581,0.000009112455,0.02675734,0.0002918814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954985,0.04249544,5.390007e-7,0.001446946,0.00006238648,0.0002717767,0.00002494489,0.00002620652,0.0006867087],"genre_scores_gemma":[0.992733,0.001021938,0.00001778935,0.006077286,0.0000468524,0.00001134215,0.000004195862,0.00002181243,0.0000658062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3230183,"threshold_uncertainty_score":0.5044699,"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."}}