{"id":"W3127821223","doi":"10.1038/s41541-021-00285-9","title":"Immunofocusing and enhancing autologous Tier-2 HIV-1 neutralization by displaying Env trimers on two-component protein nanoparticles","year":2021,"lang":"en","type":"article","venue":"npj Vaccines","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Horizon 2020 Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation; European Commission; amfAR, The Foundation for AIDS Research; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Neutralization; Component (thermodynamics); Nanoparticle; Human immunodeficiency virus (HIV); Chemistry; Trimer; Virology; Nanotechnology; Materials science; Medicine; Virus; Organic chemistry; Physics","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":[0.0001000444,0.0003035406,0.0001036722,0.0001340511,0.00006007995,0.0001848501,0.0001365957,0.000226247,0.0003497769],"category_scores_gemma":[0.00007151668,0.00009875123,0.0001453346,0.00005622484,0.0001114437,0.0001352247,0.0001560956,0.0001997299,0.0001282285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001912801,"about_ca_system_score_gemma":0.0001039864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005515108,"about_ca_topic_score_gemma":0.001006233,"domain_scores_codex":[0.99993,0.000009447289,0.000003352076,0.00001549666,0.00002218309,0.00001952795],"domain_scores_gemma":[0.9999658,0.000006138426,0.000009852792,0.000003661191,0.00000616639,0.000008294564],"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":[0.00001379479,0.0000153637,0.00004988885,0.000008349652,0.000001183694,0.000008696427,0.000006027844,0.00009466644,0.9991431,0.00003279428,0.00001095126,0.0006151994],"study_design_scores_gemma":[0.000005927154,0.0003473045,0.0009187745,0.000001954803,0.00000660208,0.00007623404,0.000008690644,0.001785614,0.9963281,0.00001615066,0.0005024773,0.000002211827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939417,0.0002441849,0.004724645,0.00002206764,0.000009350862,0.00003029691,0.00002836371,0.0000380499,0.0009613865],"genre_scores_gemma":[0.9929898,0.0002289453,0.005529582,0.00003244566,0.000004249958,0.00001873582,0.00005608417,0.00001006113,0.001130107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005515108,"threshold_uncertainty_score":0.001387894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008736594616026,"score_gpt":0.2555159623107246,"score_spread":0.2454285963645643,"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."}}