{"id":"W2883804067","doi":"10.1172/jci120549","title":"HIV-1 proviral landscapes distinguish posttreatment controllers from noncontrollers","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"AIDS Vancouver; Simon Fraser University","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; ACT Government; Brigham and Women's Hospital; Gilead Sciences; Harvard University; Harvard University Center for AIDS Research; Center for AIDS Research, University of Washington; Michael Smith Health Research BC; GlaxoSmithKline","keywords":"Genome; Biology; Peripheral blood mononuclear cell; CD8; Immune system; Human immunodeficiency virus (HIV); Virology; Virus; Immunology; Acquired immune system; Viral load; Gene; 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":[0.0002127699,0.00012791,0.0001942802,0.0007474929,0.0002891151,0.0006424654,0.0002031509,0.0003528886,0.001997603],"category_scores_gemma":[0.0007964836,0.0001293799,0.00009252501,0.0002525551,0.0002373414,0.0003672073,0.000249383,0.0002635558,0.0001670233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762848,"about_ca_system_score_gemma":0.0001578418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001818899,"about_ca_topic_score_gemma":0.003153356,"domain_scores_codex":[0.9998446,0.0000160392,0.00001119033,0.0000381785,0.00004160342,0.00004835107],"domain_scores_gemma":[0.999656,0.000100435,0.00008170803,0.00003677184,0.00005198634,0.0000730983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002344798,0.0003606569,0.7202324,0.00007563584,0.00004335592,0.0006542167,0.0007201602,0.000459163,0.2346383,0.0003082129,0.0002951322,0.03986799],"study_design_scores_gemma":[0.00002576439,0.0009796971,0.9760087,0.00001282388,0.0000347293,0.001670104,0.0005462218,0.002465386,0.01732406,0.0002655648,0.0006528662,0.00001412653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999202,0.00009225335,0.0001508627,0.000005579385,0.000001185152,0.00001621019,0.0001008587,0.000008339042,0.0004228055],"genre_scores_gemma":[0.9993605,0.00003374793,0.0001822408,0.00001011996,0.00000192926,0.000010442,0.00019869,0.000003679372,0.0001986374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001997603,"threshold_uncertainty_score":0.006682575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04762824174676433,"score_gpt":0.3526739322880203,"score_spread":0.305045690541256,"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."}}