{"id":"W3210408195","doi":"10.1126/science.abl6184","title":"Rapid assessment of SARS-CoV-2–evolved variants using virus-like particles","year":2021,"lang":"en","type":"article","venue":"Science","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":354,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Gladstone Institutes; Biogen; National Institutes of Health; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Pfizer; Howard Hughes Medical Institute","keywords":"Mutation; Virus; Virology; Biology; Virus-like particle; Coronavirus; Genetics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Reverse genetics; Viral life cycle; Arginine; RNA; Coronavirus disease 2019 (COVID-19); Gene; Amino acid; Viral replication; Genome; Medicine; Recombinant DNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005079986,0.0003729259,0.0002325757,0.0002284098,0.0001948254,0.0003561407,0.0002545929,0.0005719115,0.0005532493],"category_scores_gemma":[0.0004408816,0.000117675,0.0001996775,0.0001830015,0.0001538517,0.0002942308,0.0003156607,0.0004810849,0.0002047289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002971466,"about_ca_system_score_gemma":0.0001272809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007083967,"about_ca_topic_score_gemma":0.0006631166,"domain_scores_codex":[0.9996299,0.00009034433,0.00003565112,0.00007610201,0.0001270567,0.0000410124],"domain_scores_gemma":[0.9998336,0.00004785154,0.00002571272,0.00001927519,0.00004739035,0.00002606893],"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":[0.00006779988,0.00005696791,0.001094263,0.00001530022,0.000006047844,0.00003121659,0.00003734003,0.000303628,0.9973537,0.00007148063,0.00002854919,0.000933771],"study_design_scores_gemma":[0.00001481225,0.001403198,0.008594749,0.000005143983,0.00001679485,0.0001786021,0.00008877641,0.006258419,0.9825737,0.00007799929,0.000774933,0.00001302191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936535,0.000134812,0.004975768,0.00002601873,0.00001259741,0.0001071005,0.0003913778,0.00005404146,0.0006448255],"genre_scores_gemma":[0.985316,0.0001985445,0.0113991,0.000065109,0.000005605351,0.0001369777,0.00140152,0.00002787072,0.001449254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007083967,"threshold_uncertainty_score":0.00268656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1395982498550149,"score_gpt":0.4337576812880505,"score_spread":0.2941594314330356,"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."}}