{"id":"W4402573792","doi":"10.1021/acscentsci.4c00722","title":"Engineering a SARS-CoV-2 Vaccine Targeting the Receptor-Binding Domain Cryptic-Face via Immunofocusing","year":2024,"lang":"en","type":"article","venue":"ACS Central Science","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; Chan Zuckerberg Initiative; National Institute of Allergy and Infectious Diseases; Stanford University; Virginia and D.K. Ludwig Fund for Cancer Research; Canadian Institutes of Health Research","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Virology; Computational biology; Domain (mathematical analysis); Biology; Medicine; Infectious disease (medical specialty); Outbreak","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":[0.0001201396,0.0002655792,0.0001140001,0.0001559137,0.0001109759,0.000177633,0.000189469,0.000290665,0.001147229],"category_scores_gemma":[0.00006687449,0.0001330078,0.0001644857,0.00007061004,0.0001667286,0.000184043,0.000186834,0.000373597,0.0003121143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000194427,"about_ca_system_score_gemma":0.0001532124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003785859,"about_ca_topic_score_gemma":0.0007203059,"domain_scores_codex":[0.9999328,0.000006700715,0.000002751348,0.00001829654,0.00002048501,0.00001901701],"domain_scores_gemma":[0.999965,0.000006070367,0.00001204619,0.000003643698,0.000005355103,0.000007916299],"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":[0.00001941011,0.00001200749,0.00004747605,0.00001243072,0.000001277333,0.0000154963,0.000006868255,0.0001088057,0.9985572,0.00009450965,0.00003239661,0.001092161],"study_design_scores_gemma":[0.000006563433,0.0001118162,0.0003654479,0.00000163873,0.000002495031,0.00006568319,0.00000821714,0.001641298,0.9964429,0.00002969455,0.001321991,0.000002366554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622844,0.0005027899,0.03322932,0.0001440348,0.00004049373,0.00009973504,0.0001995813,0.0002629812,0.003236497],"genre_scores_gemma":[0.9491968,0.0005520346,0.0458543,0.0001115517,0.0000150138,0.00007595775,0.0003085594,0.00005178816,0.003834048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001147229,"threshold_uncertainty_score":0.003837883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103902557187046,"score_gpt":0.31355335681338,"score_spread":0.2925143312415096,"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."}}