{"id":"W3046380953","doi":"10.1101/2020.07.31.231746","title":"Engineered ACE2 receptor traps potently neutralize SARS-CoV-2","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; University of California, San Francisco; Bristol-Myers Squibb; Damon Runyon Cancer Research Foundation; National Cancer Institute; National Science Foundation; National Institutes of Health; Helen Hay Whitney Foundation","keywords":"Receptor; Viral entry; Avidity; Virology; Angiotensin-converting enzyme 2; Mutant; Virus; Antibody; Biology; Protein engineering; Directed evolution; Mutagenesis; Neutralization; Chemistry; Molecular biology; Biochemistry; Enzyme; Viral replication; Coronavirus disease 2019 (COVID-19); Gene; Immunology","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":[0.00014457,0.0004278945,0.0002865594,0.0001121906,0.00008727642,0.0003379061,0.0002591911,0.0002530589,0.0005859807],"category_scores_gemma":[0.0001306609,0.0001544075,0.0002831066,0.00006913766,0.0001246259,0.0001900489,0.0002028742,0.0004376735,0.0002588624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002575267,"about_ca_system_score_gemma":0.0001439955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003113176,"about_ca_topic_score_gemma":0.0005601945,"domain_scores_codex":[0.9998677,0.00001839851,0.000009442169,0.00002133997,0.00004809033,0.00003514219],"domain_scores_gemma":[0.9999461,0.000008433274,0.00001968501,0.00000459431,0.000009849779,0.00001132069],"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":[0.00006091761,0.00004124287,0.0001126153,0.00001993171,0.00001166918,0.00004407447,0.000008090065,0.0008035594,0.9975871,0.0001366468,0.0000315787,0.001142561],"study_design_scores_gemma":[0.00002686125,0.0003438868,0.0004326655,0.000002280069,0.00001560452,0.0002054875,0.0000100946,0.004247234,0.9933233,0.00003415141,0.001351324,0.000007142308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876188,0.0005264916,0.01059021,0.00004466744,0.00001630395,0.00004672099,0.0001425114,0.00008725101,0.0009271242],"genre_scores_gemma":[0.9880772,0.0003532128,0.009750994,0.00005802116,0.00000744854,0.00002984788,0.0002867577,0.0000289699,0.001407544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005859807,"threshold_uncertainty_score":0.001960278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04308639360644627,"score_gpt":0.2928792834878707,"score_spread":0.2497928898814244,"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."}}