{"id":"W4225647476","doi":"10.1016/j.celrep.2022.110812","title":"LY-CoV1404 (bebtelovimab) potently neutralizes SARS-CoV-2 variants","year":2022,"lang":"en","type":"article","venue":"Cell Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":464,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Public Health Agency of Canada; AbCellera (Canada)","funders":"Defense Sciences Office, DARPA; Horizon 2020; National Institute of Allergy and Infectious Diseases; Office of Science; Defense Advanced Research Projects Agency; National Institutes of Health; Horizon 2020 Framework Programme; Vaccine Research Center; Eli Lilly and Company; Argonne National Laboratory; U.S. Department of Defense; U.S. Department of Energy; University of Texas Medical Branch","keywords":"Neutralization; Epitope; Monoclonal antibody; Virology; Antibody; Glycoprotein; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Biology; Molecular biology; Chemistry; Coronavirus disease 2019 (COVID-19); Immunology; Medicine; Disease; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000904607,0.0003220513,0.0005420108,0.0003185027,0.0003815908,0.00007415268,0.0002713039,0.0001281111,0.0002472013],"category_scores_gemma":[0.0001966759,0.0003079388,0.000312216,0.0006945382,0.0001201505,0.0001315189,0.0004297297,0.0007278176,0.0001753798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003131794,"about_ca_system_score_gemma":0.0008126977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006285817,"about_ca_topic_score_gemma":0.00001461162,"domain_scores_codex":[0.996131,0.0001369768,0.0007432783,0.0008914298,0.001278712,0.0008185981],"domain_scores_gemma":[0.9981406,0.00008653814,0.0002792053,0.001236872,0.0001659947,0.00009080119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000330219,0.0008038039,0.03420136,0.0001897825,0.00009373073,0.03399749,0.0003748623,0.000005089789,0.8972404,0.00007537793,0.03021538,0.002472508],"study_design_scores_gemma":[0.0009229172,0.0003363666,0.004635044,0.00002071002,0.000078566,0.003275099,0.0001407233,0.00009082145,0.4826609,0.0005549183,0.5070135,0.0002704221],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9184557,0.0008380017,0.00006546,0.0005389496,0.001004815,0.0007234709,0.00000990944,0.0002273554,0.07813632],"genre_scores_gemma":[0.9578863,0.00000899416,0.0001847789,0.03969442,0.0002602367,0.0001496856,0.00002504329,0.00008945233,0.001701023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4767981,"threshold_uncertainty_score":0.9999373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04240630903317812,"score_gpt":0.3260389030107508,"score_spread":0.2836325939775727,"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."}}