{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001122432,0.0002798516,0.00009070045,0.0001477233,0.00008126258,0.0001607344,0.0001488236,0.0001826315,0.001126896],"category_scores_gemma":[0.00009381457,0.00008282041,0.0001364999,0.00005505656,0.0001275632,0.0001892359,0.0001648242,0.0003899448,0.0002238178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564,"about_ca_system_score_gemma":0.00009645643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003139785,"about_ca_topic_score_gemma":0.0004214506,"domain_scores_codex":[0.9999424,0.000009685374,0.000003589817,0.0000105432,0.00001711814,0.00001659595],"domain_scores_gemma":[0.9999623,0.000006962971,0.00001127227,0.00000348839,0.000006891308,0.000008945988],"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":[0.00007318139,0.00002703947,0.0009450884,0.00002049508,0.00000532292,0.00006043886,0.0000195603,0.0003453867,0.995984,0.0001415736,0.00002949453,0.002348534],"study_design_scores_gemma":[0.0000601448,0.00178679,0.03023913,0.00001935998,0.00004645835,0.001816171,0.0001946392,0.005655467,0.9531883,0.0008091204,0.006173282,0.00001113278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950282,0.0007013566,0.002546427,0.00008725586,0.000008060077,0.00001371673,0.0001228696,0.00002019323,0.001471943],"genre_scores_gemma":[0.9972784,0.0003666602,0.001453995,0.00009618897,0.000006631338,0.000006760015,0.0003006609,0.0000044989,0.0004862381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001126896,"threshold_uncertainty_score":0.003769815,"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."}}