{"id":"W4200069835","doi":"10.1038/s41591-021-01574-5","title":"A multiclade env–gag VLP mRNA vaccine elicits tier-2 HIV-1-neutralizing antibodies and reduces the risk of heterologous SHIV infection in macaques","year":2021,"lang":"en","type":"article","venue":"Nature Medicine","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":165,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"NHLBI Division of Intramural Research; Vaccine Research Center; Office of AIDS Research; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; Frederick National Laboratory for Cancer Research; National Institutes of Health; Universiteit van Amsterdam; U.S. Department of Health and Human Services","keywords":"Virology; Heterologous; Simian immunodeficiency virus; Antibody; Biology; Neutralizing antibody; Virus; Neutralization; Gp41; HIV vaccine; AIDS Vaccines; Glycan; Vaccination; Immunology; Glycoprotein; Vaccine trial; Gene; Epitope; Molecular biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000340994,0.0001611123,0.0003609713,0.0001501806,0.0001295393,0.000005626774,0.00008824175,0.0003099346,0.0001042886],"category_scores_gemma":[0.0009352621,0.00009071542,0.00004528959,0.0002130071,0.0002319905,0.00003882107,0.00007072717,0.0009716264,0.00001988456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000283443,"about_ca_system_score_gemma":0.0000320628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008815842,"about_ca_topic_score_gemma":0.000802198,"domain_scores_codex":[0.9986769,0.0004431815,0.0002614539,0.0002627384,0.00006575455,0.0002899651],"domain_scores_gemma":[0.9991328,0.0004232802,0.0001046995,0.0002008887,0.0001102364,0.00002810243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004063899,0.0002219612,0.534418,0.00008275874,0.0005412829,0.0001090395,0.00201889,0.000007400408,0.443981,0.0001247725,0.005271873,0.01281665],"study_design_scores_gemma":[0.003507588,0.000463738,0.5867303,0.0002108904,0.0001222385,0.0001413341,0.0003313005,0.00001003476,0.398374,0.0001534016,0.009858699,0.00009649124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462913,0.04958947,0.000003791738,0.003159017,0.0002768756,0.0002002542,0.00004192548,0.00002358808,0.0004138185],"genre_scores_gemma":[0.9872946,0.01184016,0.00004004028,0.0001970592,0.00009227566,0.0000143272,0.0001639166,0.000009242983,0.0003483405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05231231,"threshold_uncertainty_score":0.4221287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009718197827999328,"score_gpt":0.2904454997583891,"score_spread":0.2807273019303897,"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."}}