{"id":"W4395448976","doi":"10.3201/eid3005.231739","title":"SARS-CoV-2 IgG Levels as Predictors of XBB Variant Neutralization, Israel, 2022 and 2023","year":2024,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Neutralization; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Medicine; Biology; Internal medicine; Outbreak; Virus; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008642253,0.000393037,0.0001397811,0.0005143483,0.0001491475,0.000597954,0.000172026,0.000467972,0.002817385],"category_scores_gemma":[0.001534734,0.0001107648,0.0002746047,0.0002596237,0.0002215826,0.0002058896,0.0001750749,0.0004045821,0.0006161336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003342764,"about_ca_system_score_gemma":0.0002813763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003678694,"about_ca_topic_score_gemma":0.003377388,"domain_scores_codex":[0.9996896,0.00009324441,0.000030472,0.00003477985,0.00006399085,0.00008797225],"domain_scores_gemma":[0.999401,0.0001915278,0.0001547325,0.00002648366,0.0001164202,0.0001098116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007210402,0.0001349444,0.9893441,0.00001622091,0.00007576236,0.0001621802,0.00008471197,0.0003317342,0.004378503,0.00008247678,0.0003460461,0.004322352],"study_design_scores_gemma":[0.00003880337,0.0006100776,0.9873415,0.00002323334,0.00004925657,0.001001465,0.0002589076,0.002509815,0.006375454,0.0001860468,0.001591382,0.00001398095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996489,0.0002358429,0.000214118,0.00007468689,0.00001617312,0.00001387267,0.0003509856,0.000009286591,0.002596063],"genre_scores_gemma":[0.9977298,0.00005295255,0.0002111102,0.00007448722,0.00001098592,0.00001259044,0.0007416424,0.000004255958,0.001162227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003678694,"threshold_uncertainty_score":0.009425104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499393702233295,"score_gpt":0.3399837529893623,"score_spread":0.3149898159670294,"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."}}