{"id":"W3024427566","doi":"10.3389/fmicb.2020.00902","title":"Improving HIV Outgrowth by Optimizing Cell-Culture Conditions and Supplementing With all-trans Retinoic Acid","year":2020,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alethia Biotherapeutics (Canada); McGill University Health Centre; Caprion (Canada); Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian HIV Trials Network, Canadian Institutes of Health Research; McGill University Health Centre; McGill University; Canadian Institutes of Health Research; Canadian Foundation for AIDS Research","keywords":"Retinoic acid; Flow cytometry; CD28; Viral replication; Replication (statistics); Cell culture; Human immunodeficiency virus (HIV); Immunophenotyping; Cell growth; CD3; Immunology; Cell; Biology; T cell; Cell biology; Virology; Chemistry; Immune system; CD8; Biochemistry; Genetics","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":[0.001026724,0.0007406111,0.0009073725,0.0005237093,0.0004046677,0.001114385,0.0008422526,0.0005262849,0.001841361],"category_scores_gemma":[0.0006171098,0.0002821546,0.000483295,0.0004954028,0.0002752316,0.0003989063,0.0008020797,0.0011748,0.001438999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00024518,"about_ca_system_score_gemma":0.0004664042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008612059,"about_ca_topic_score_gemma":0.002374906,"domain_scores_codex":[0.998813,0.0002807699,0.0001981096,0.000221831,0.000320372,0.000165796],"domain_scores_gemma":[0.9995543,0.0001667692,0.0000615508,0.00007088893,0.0001025594,0.00004381124],"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":[0.00009238882,0.00009476349,0.0003643171,0.0001314999,0.000009172296,0.00005776678,0.00008877722,0.0004413058,0.9938862,0.0001102259,0.0001644179,0.004559201],"study_design_scores_gemma":[0.00001952941,0.0004533172,0.001831373,0.00004199522,0.00004177361,0.0001799215,0.00007408325,0.002436013,0.9878555,0.00009640142,0.006949124,0.00002086907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8943865,0.008535987,0.08203811,0.0005222848,0.000310771,0.001283735,0.002481814,0.0007124181,0.009728482],"genre_scores_gemma":[0.7679316,0.009081655,0.202811,0.0003625295,0.000125382,0.001947896,0.005745453,0.0003150053,0.01167934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001841361,"threshold_uncertainty_score":0.006159961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006141044476993592,"score_gpt":0.210630488938522,"score_spread":0.2044894444615284,"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."}}