{"id":"W4280542730","doi":"10.1016/j.celrep.2022.110905","title":"Ultrapotent and broad neutralization of SARS-CoV-2 variants by modular, tetravalent, bi-paratopic antibodies","year":2022,"lang":"en","type":"article","venue":"Cell Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; Mercatus Center, George Mason University; National Institutes of Health; Temerty Family Foundation; Fondazione Roma; Regione Lazio; Canadian Institutes of Health Research; Ministero dell’Istruzione, dell’Università e della Ricerca; Canada Foundation for Innovation; Vir Biotechnology","keywords":"Neutralization; Antibody; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Modular design; Chemistry; Biology; Genetics; Medicine; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003374889,0.0003608131,0.0001360286,0.0002309705,0.00008801038,0.0003135474,0.0002816216,0.0002729893,0.00136756],"category_scores_gemma":[0.0001669473,0.0001452344,0.0001661818,0.0001181155,0.0001766649,0.0002261565,0.0003910055,0.0005856641,0.0003895442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002184159,"about_ca_system_score_gemma":0.0002053982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004052291,"about_ca_topic_score_gemma":0.0009041202,"domain_scores_codex":[0.9998202,0.00002819514,0.00001464313,0.00003100956,0.00005224919,0.00005374016],"domain_scores_gemma":[0.9999309,0.00001131439,0.00001225722,0.00001386971,0.00001154138,0.0000200615],"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":[0.00004256031,0.00003261837,0.0001378311,0.0000158003,0.000004201128,0.00001729679,0.00001104221,0.00008741824,0.9967934,0.0001109027,0.00006376885,0.002683154],"study_design_scores_gemma":[0.0000650508,0.0009385244,0.003947377,0.000007531843,0.00002520126,0.0005527615,0.00002786483,0.001479309,0.9877964,0.0001117968,0.00504237,0.000005894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732089,0.001201855,0.01993133,0.00009644432,0.00005149479,0.0001127614,0.0004161429,0.0002191251,0.004761938],"genre_scores_gemma":[0.9911143,0.0003210025,0.005622141,0.00008361536,0.00001386045,0.00004067982,0.0005994714,0.00002206015,0.002182822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00136756,"threshold_uncertainty_score":0.004574955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541051244582413,"score_gpt":0.3203990326643459,"score_spread":0.2849885202185218,"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."}}