{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002220816,0.0001373159,0.0002103287,0.00005635154,0.0004232282,0.00002200371,0.0000630054,0.0001357239,0.0007758221],"category_scores_gemma":[0.00002803503,0.0001335793,0.00009137778,0.00008469263,0.0001002264,0.00007716932,0.00009783548,0.0001855183,0.0001903272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004441565,"about_ca_system_score_gemma":0.0001404479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001987492,"about_ca_topic_score_gemma":0.000009828406,"domain_scores_codex":[0.9987942,0.0001432609,0.000280393,0.0004095741,0.00007453949,0.0002980425],"domain_scores_gemma":[0.9993891,0.00009276697,0.00008568056,0.0002581929,0.0001132436,0.00006097535],"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":[0.0000878332,0.0004624248,0.1056864,0.00006725342,0.00007772406,0.0009975909,0.0003374279,0.000008591089,0.8891929,0.00005685517,0.002914437,0.0001106246],"study_design_scores_gemma":[0.004214071,0.0003417299,0.1174588,0.00004882154,0.0001692439,0.0008415832,0.0003912208,0.000004497875,0.8264764,0.00170301,0.0479117,0.0004389302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833834,0.007506336,0.00008792794,0.0004336814,0.0001931942,0.0002626344,0.0001083625,0.00003981218,0.007984674],"genre_scores_gemma":[0.9785153,0.0001452078,0.0004155901,0.00004826589,0.00001564684,0.0000122905,0.001539977,0.00001176473,0.01929597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06271645,"threshold_uncertainty_score":0.8494708,"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."}}