{"id":"W3035406574","doi":"10.1101/2020.06.09.143438","title":"A potent synthetic nanobody targets RBD and protects mice from SARS-CoV-2 infection","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Youth Innovation Promotion Association; National Natural Science Foundation of China; Salt Science Research Foundation; Soochow University; Natural Science Foundation of Shanghai","keywords":"Neutralization; Antibody; Potency; Divalent; In vitro; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Chemistry; Coronavirus disease 2019 (COVID-19); Neutralizing antibody; Virology; Biology; Biochemistry; Medicine; Immunology; 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":[0.0001700204,0.0006132886,0.0004184744,0.0004121855,0.0001236257,0.0002377558,0.0003022902,0.000527625,0.0008258058],"category_scores_gemma":[0.0001298627,0.0001432886,0.0003512216,0.0001056846,0.0002201084,0.0002118945,0.0002053307,0.0007488532,0.0003599781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002712345,"about_ca_system_score_gemma":0.0001113414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000152254,"about_ca_topic_score_gemma":0.0001585449,"domain_scores_codex":[0.9998571,0.00001899248,0.00001391242,0.00003702619,0.0000386431,0.00003435409],"domain_scores_gemma":[0.9998797,0.00001933447,0.00004228732,0.00001227578,0.00001312628,0.00003317746],"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":[0.000111236,0.00005531676,0.00006142025,0.0000345004,0.000005965737,0.00001929468,0.000006643327,0.000143256,0.9983404,0.00005718155,0.00004147548,0.001123338],"study_design_scores_gemma":[0.00006915136,0.001707991,0.001441882,0.00001058506,0.00002639432,0.0002145649,0.000009165345,0.001350531,0.9929681,0.00006777643,0.002126902,0.000006816896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983958,0.001905952,0.01171319,0.0001494641,0.00007174349,0.00007889843,0.0005614939,0.000247782,0.001313492],"genre_scores_gemma":[0.9892696,0.0009671786,0.006203875,0.0001792096,0.00003524352,0.00008567048,0.001216601,0.00004877127,0.001993828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008258058,"threshold_uncertainty_score":0.002762556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03064154768797303,"score_gpt":0.2711722017909323,"score_spread":0.2405306541029593,"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."}}