{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002088569,0.0002407243,0.0003477218,0.0004895289,0.0001449967,0.0000936322,0.0001053377,0.00009823163,0.00008653326],"category_scores_gemma":[0.0004434519,0.0002181066,0.0001640392,0.0009437003,0.0001742505,0.0002176371,0.0001072229,0.0002214897,0.00008184111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009789735,"about_ca_system_score_gemma":0.0004608422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019299,"about_ca_topic_score_gemma":0.00005627055,"domain_scores_codex":[0.9981735,0.00008611373,0.000375321,0.0004845295,0.0005070186,0.000373559],"domain_scores_gemma":[0.9991612,0.0001777787,0.00006253257,0.0003416658,0.0001754555,0.00008134206],"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":[0.0002662289,0.0008605382,0.7653641,0.003043936,0.001283246,0.001149051,0.001263381,0.00002622203,0.1837174,0.006990202,0.03037817,0.005657526],"study_design_scores_gemma":[0.005667543,0.002635272,0.2213179,0.002353225,0.002386527,0.001322609,0.0007013493,0.008781263,0.2646311,0.007430511,0.4812464,0.0015263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863769,0.00611915,0.0004684909,0.0003538405,0.0008134572,0.000461511,0.0001216078,0.0004080476,0.004876925],"genre_scores_gemma":[0.9943749,0.0001088801,0.000008023045,0.004744721,0.0004208293,0.00006780577,0.00002114451,0.00005991735,0.0001937485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5440462,"threshold_uncertainty_score":0.8894128,"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."}}