{"id":"W4308681804","doi":"10.1080/22221751.2022.2146538","title":"Structural insights into broadly neutralizing antibodies elicited by hybrid immunity against SARS-CoV-2","year":2022,"lang":"en","type":"article","venue":"Emerging Microbes & Infections","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"National Key Research and Development Program of China; Health and Medical Research Fund; Science, Technology and Innovation Commission of Shenzhen Municipality; Innovation and Technology Commission - Hong Kong; Food and Health Bureau; Hong Kong University of Science and Technology; Basic and Applied Basic Research Foundation of Guangdong Province; Wellcome; Research Grants Council, University Grants Committee; Wellcome Trust","keywords":"Antibody; Homogeneous; Virology; Potency; Epitope; Biology; Immunity; Neutralization; Computational biology; Neutralizing antibody; Immunology; Genetics; Immune system; In vitro","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002580309,0.0003650392,0.0004483705,0.0007224362,0.002255651,0.0001137863,0.0003155317,0.00007324744,0.00005059249],"category_scores_gemma":[0.0001228828,0.000373248,0.0002950343,0.001179173,0.0002169307,0.0002841085,0.0004953002,0.001222956,0.00006031768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919077,"about_ca_system_score_gemma":0.000223996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00654093,"about_ca_topic_score_gemma":0.0003557669,"domain_scores_codex":[0.997629,0.0002740876,0.0005046055,0.0005213364,0.0004169691,0.0006540436],"domain_scores_gemma":[0.9988787,0.0001172733,0.0001366908,0.0006045979,0.000210673,0.00005208701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005892118,0.0002384301,0.02198094,0.00008195874,0.0002099357,0.00004884049,0.002090863,0.00003922756,0.961679,0.00008928645,0.01159396,0.001888612],"study_design_scores_gemma":[0.0009868197,0.0002222454,0.002283424,0.00005355978,0.0000714241,0.0001823078,0.0005430388,0.0006369494,0.5913104,0.0001502292,0.4032096,0.0003499197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993264,0.002254375,0.0001371865,0.0005099278,0.0007205461,0.0004765594,0.00003939989,0.0004303737,0.002167627],"genre_scores_gemma":[0.9836603,0.00006400733,0.00009853719,0.01558935,0.0001780924,0.00009252913,0.0001501213,0.00007393298,0.00009315973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3916157,"threshold_uncertainty_score":0.999872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499721453504825,"score_gpt":0.3290101645850459,"score_spread":0.3040129500499977,"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."}}