{"id":"W3198188945","doi":"10.1016/j.celrep.2021.109643","title":"Combined single-cell transcriptional, translational, and genomic profiling reveals HIV-1 reservoir diversity","year":2021,"lang":"en","type":"article","venue":"Cell Reports","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; National Institutes of Health; National Institute of Allergy and Infectious Diseases; Servier; Canadian Institutes of Health Research; Sociedad Argentina de Hipertensión Arterial; McGill University","keywords":"Biology; RNA; Transcription (linguistics); Gene; Cell; Effector; Virus latency; Genetics; Computational biology; Virology; Viral replication; Cell biology; Cell culture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001271845,0.0001458648,0.0002600156,0.0003066483,0.0001366611,0.0004579092,0.0001190178,0.0002151286,0.001135373],"category_scores_gemma":[0.0001660432,0.0001284775,0.0001351491,0.0002729703,0.0001780506,0.0002082928,0.0002112779,0.0005685458,0.0004077295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543943,"about_ca_system_score_gemma":0.00009453353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002463822,"about_ca_topic_score_gemma":0.0006308546,"domain_scores_codex":[0.9998626,0.00001041531,0.00000662303,0.00003758756,0.00004109014,0.00004159152],"domain_scores_gemma":[0.9998112,0.0000599765,0.00003060433,0.0000259079,0.00002670281,0.00004559023],"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":[0.00002373498,0.000005588475,0.0004407989,0.00000590612,0.000001456762,0.000006874192,0.00001020066,0.00002156812,0.9987923,0.00001602166,0.0000108549,0.0006647279],"study_design_scores_gemma":[0.000004938964,0.0001835295,0.03024677,0.000002811006,0.00002055683,0.000250112,0.00007155312,0.001463756,0.9669909,0.00009344015,0.0006655632,0.000006098021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928442,0.000552603,0.004595514,0.00004723086,0.000006056318,0.0000160028,0.00107248,0.00008844047,0.0007775603],"genre_scores_gemma":[0.9932215,0.0002533727,0.003783829,0.00004173548,0.000008520816,0.00002910837,0.001246163,0.00004993545,0.001365796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001135373,"threshold_uncertainty_score":0.003798246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166694276681185,"score_gpt":0.2367688534797179,"score_spread":0.2051019107129061,"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."}}