{"id":"W3167769239","doi":"10.1038/s41467-021-24080-1","title":"In-depth single-cell analysis of translation-competent HIV-1 reservoirs identifies cellular sources of plasma viremia","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"Medical Research Council; Canadian Institutes of Health Research; Canadian HIV Trials Network, Canadian Institutes of Health Research; Fonds Wetenschappelijk Onderzoek; Agentschap Innoveren en Ondernemen; National Institute of Allergy and Infectious Diseases; National Health and Medical Research Council; Vlaamse regering; Delaney AIDS Research Enterprise; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Viremia; Genome; Biology; Virology; T-cell receptor; Gene; Provirus; Translation (biology); Sequence (biology); Human immunodeficiency virus (HIV); Genetics; Computational biology; T cell; Immune system; Messenger RNA","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001974928,0.0001037587,0.0003473833,0.0004091937,0.000119426,0.000009195757,0.0006146397,0.0002717422,0.0002978859],"category_scores_gemma":[0.00009424787,0.00009768596,0.0002122071,0.001109143,0.0002843475,0.00007085875,0.0001687936,0.0005601507,0.0000525442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003837116,"about_ca_system_score_gemma":0.00009608561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001145632,"about_ca_topic_score_gemma":0.004252595,"domain_scores_codex":[0.9987178,0.0004551389,0.000397195,0.0001777606,0.00007643676,0.000175649],"domain_scores_gemma":[0.9976495,0.0006920724,0.0001453395,0.001268549,0.0002244055,0.00002013575],"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":[0.00006159081,0.001424727,0.05568141,0.00003834448,0.001633101,0.0000082689,0.001998858,0.0001704344,0.9363905,0.001190323,0.0008660989,0.0005363072],"study_design_scores_gemma":[0.001423169,0.00006490928,0.03038658,0.00004537763,0.0007175381,0.000004116053,0.001674908,0.0001151723,0.9383531,0.00009355615,0.02697981,0.0001417974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452481,0.04603489,0.00003444405,0.001469915,0.00006541683,0.0001478701,0.0003169729,0.00001417778,0.006668228],"genre_scores_gemma":[0.9952165,0.0008355106,0.0008980792,0.00001786546,0.000002838769,0.00001750373,0.001853149,0.000007738159,0.001150855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04996837,"threshold_uncertainty_score":0.3983518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02948983101257107,"score_gpt":0.2862639702241032,"score_spread":0.2567741392115321,"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."}}