{"id":"W3111225893","doi":"10.3389/fimmu.2020.596631","title":"Sharing CD4+ T Cell Loss: When COVID-19 and HIV Collide on Immune System","year":2020,"lang":"en","type":"review","venue":"Frontiers in Immunology","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"HIV Legal Network; McGill University Health Centre","funders":"National Science and Technology Major Project; Canadian HIV Trials Network, Canadian Institutes of Health Research; Canadian Institutes of Health Research; China Scholarship Council; McGill University Health Centre; McGill University; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Cytokine storm; Immunology; Immune system; T cell; Viral load; Transmission (telecommunications); Medicine; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Cd4 t cell; Human immunodeficiency virus (HIV); Disease; Internal medicine; Infectious disease (medical specialty)","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":[0.0004848047,0.0005661203,0.001108556,0.001518624,0.000224807,0.0008978474,0.0007005766,0.001150719,0.002541377],"category_scores_gemma":[0.0008405189,0.0001889873,0.0004178976,0.001213766,0.000444085,0.00125872,0.0005467846,0.001527146,0.001301354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005774893,"about_ca_system_score_gemma":0.001197822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008159042,"about_ca_topic_score_gemma":0.00150687,"domain_scores_codex":[0.9998363,0.00003968749,0.00002628682,0.00002618042,0.00005208844,0.00001937485],"domain_scores_gemma":[0.9997154,0.0001363754,0.00003765716,0.000007783485,0.00007717107,0.00002551401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001618576,0.00004983258,0.0002327855,0.02174463,0.0001323539,0.0002347814,0.00007272273,0.0001630879,0.001211416,0.00355907,0.04577554,0.926662],"study_design_scores_gemma":[0.00003184455,0.0001479634,0.00115188,0.008251982,0.0001691049,0.001988185,0.0001126722,0.00005902906,0.0004393726,0.002334843,0.9852934,0.00001964261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008896692,0.9987656,0.00004057585,0.0003528155,0.0002742314,0.000002883961,0.00001073813,0.000004135778,0.0004600812],"genre_scores_gemma":[0.000665285,0.9981747,0.00007075046,0.0004175932,0.0002242849,0.000004775831,0.00002434328,0.000001055076,0.0004172763],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002541377,"threshold_uncertainty_score":0.008501709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06111443192429638,"score_gpt":0.3936466879296455,"score_spread":0.3325322560053491,"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."}}