{"id":"W4379056128","doi":"10.1172/jci.insight.168296","title":"Modeling of ACE2 and antibodies bound to SARS-CoV-2 provides insights into infectivity and immune evasion","year":2023,"lang":"en","type":"article","venue":"JCI Insight","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Science Foundation; National Institutes of Health; National Cancer Institute; U.S. Department of Energy","keywords":"Infectivity; Evasion (ethics); Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Antibody; Immune system; 2019-20 coronavirus outbreak; Immune escape; Virology; Biology; Immunology; Medicine; Virus; Internal medicine; 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":[0.0001969817,0.0006002088,0.0004794718,0.0002311502,0.0003719681,0.0004671871,0.0007061906,0.0007875129,0.001658906],"category_scores_gemma":[0.0003731958,0.0003104622,0.0006084215,0.000208958,0.0002981019,0.0003089236,0.0003096859,0.0004991376,0.0001863394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000772681,"about_ca_system_score_gemma":0.001024427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445794,"about_ca_topic_score_gemma":0.01114226,"domain_scores_codex":[0.9999136,0.00002066695,0.000002747315,0.00001226267,0.00002424785,0.00002656082],"domain_scores_gemma":[0.9999001,0.00004430846,0.00001443057,0.000008567957,0.00001711355,0.00001543517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007662602,0.00006212375,0.002116983,0.00002241509,0.00001967912,0.0001128426,0.00002866428,0.986158,0.007953194,0.001933791,0.0002197527,0.00129587],"study_design_scores_gemma":[0.00001147154,0.00002102831,0.000327379,0.000001266128,0.000002986997,0.000009696931,0.00001031639,0.9984393,0.0006594803,0.0003214633,0.0001936917,0.000001963576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668542,0.0001763583,0.02428522,0.0002124114,0.00002068118,0.00004327521,0.0006015893,0.0001801027,0.007626168],"genre_scores_gemma":[0.9853837,0.0001546925,0.01230336,0.00005085639,0.00000984931,0.0000566646,0.0006765418,0.00006318072,0.00130113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01445794,"threshold_uncertainty_score":0.02874756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06219204580073664,"score_gpt":0.3646862413024475,"score_spread":0.3024941955017109,"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."}}