{"id":"W3216671383","doi":"10.1101/2021.11.24.469776","title":"Engineered ACE2-Fc counters murine lethal SARS-CoV-2 infection through direct neutralization and Fc-effector activities","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"National Institutes of Health; National Cancer Institute; Fonds de Recherche du Québec - Santé; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Uniformed Services University of the Health Sciences","keywords":"Effector; Neutralization; Antibody; Angiotensin-converting enzyme 2; In vitro; Biology; Virology; Chemistry; Receptor; Extracellular; Cell biology; Immunology; Biochemistry; Coronavirus disease 2019 (COVID-19); 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":[0.0001358767,0.0003608303,0.0001705565,0.0001281646,0.00008925328,0.0002179732,0.0001756687,0.0002833644,0.001349109],"category_scores_gemma":[0.00008585906,0.00007394997,0.0001539427,0.00005994798,0.0001851814,0.0001156189,0.0001546396,0.0005734171,0.0002818878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002871994,"about_ca_system_score_gemma":0.0001447808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007673501,"about_ca_topic_score_gemma":0.001004881,"domain_scores_codex":[0.999891,0.00001652066,0.000007014888,0.00001651578,0.00003373661,0.00003515461],"domain_scores_gemma":[0.9999532,0.000008536927,0.00001209031,0.000006131696,0.000006177343,0.00001396463],"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":[0.00005980358,0.00003592579,0.00008149249,0.000008261772,0.000003209429,0.00001957022,0.000004896894,0.00009658921,0.9991339,0.00008609293,0.00003387556,0.0004364434],"study_design_scores_gemma":[0.000008727349,0.0001348086,0.0003279677,9.585551e-7,0.000003588832,0.00006285099,0.000002916988,0.0006057444,0.9981411,0.0000117319,0.0006988761,8.656835e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935481,0.0004084789,0.003814722,0.00007927194,0.00002749467,0.00003061962,0.0002285477,0.00007967645,0.001783119],"genre_scores_gemma":[0.9930096,0.0001754476,0.003109143,0.00005293535,0.00001131442,0.00001648283,0.0003577987,0.00002176004,0.003245539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001349109,"threshold_uncertainty_score":0.004513264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932751730654698,"score_gpt":0.2926008898727583,"score_spread":0.2632733725662113,"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."}}