{"id":"W3025769737","doi":"10.1101/2020.05.12.091462","title":"Rapid isolation and profiling of a diverse panel of human monoclonal antibodies targeting the SARS-CoV-2 spike protein","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; Sanofi Pasteur; Genentech; Defense Advanced Research Projects Agency; Advanced Research Projects Agency; National Institutes of Health; Moderna; Vanderbilt University; Merck KGaA; Sanofi; GlaxoSmithKline; Eli Lilly and Company","keywords":"Monoclonal antibody; Virology; Antibody; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Biology; Pandemic; Coronavirus disease 2019 (COVID-19); Computational biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004463045,0.0004735493,0.0002856492,0.0007808611,0.0002003511,0.0004690259,0.0002049451,0.0003475023,0.0006934009],"category_scores_gemma":[0.0005367798,0.0001588387,0.000242599,0.0004364107,0.0001441886,0.0001755006,0.0002827128,0.0005196198,0.0005956838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002421137,"about_ca_system_score_gemma":0.0002356098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004663526,"about_ca_topic_score_gemma":0.0009483633,"domain_scores_codex":[0.9996825,0.00004421458,0.00002275524,0.0000672149,0.0001353698,0.00004788137],"domain_scores_gemma":[0.9998522,0.00002732791,0.00002284487,0.00001931349,0.0000539728,0.0000242263],"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":[0.00005960073,0.00005055128,0.001420667,0.00003414712,0.00001661781,0.00003350678,0.00002143393,0.0002064044,0.9882777,0.0001222958,0.0005576267,0.009199453],"study_design_scores_gemma":[0.00004836473,0.0007167206,0.0208417,0.00002023425,0.00006910462,0.0006908106,0.00005036293,0.004292567,0.9522398,0.0003316003,0.02068441,0.00001435134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8897742,0.006905488,0.08958977,0.0008156931,0.0001381807,0.0006876634,0.005198413,0.0006318966,0.006258677],"genre_scores_gemma":[0.8878285,0.004795041,0.08701231,0.001384478,0.0001132487,0.0005085581,0.01217995,0.0001765289,0.006001369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007808611,"threshold_uncertainty_score":0.002360284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0690065721398258,"score_gpt":0.3073297015073215,"score_spread":0.2383231293674957,"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."}}