{"id":"W3129055079","doi":"10.1371/journal.pone.0246135","title":"Estimation of time of HIV seroconversion using a modified CD4 depletion model","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; AIDS Vancouver; University of British Columbia","funders":"National Institute on Drug Abuse; Canadian Institutes of Health Research; Canadian HIV Trials Network, Canadian Institutes of Health Research; Michael Smith Health Research BC; ViiV Healthcare; Public Health Agency; Vancouver Coastal Health Research Institute; Public Health Agency of Canada; Gilead Sciences","keywords":"Seroconversion; Viral load; Cohort; Demography; Population; Medicine; Longitudinal study; Multicenter AIDS Cohort Study; Generalized estimating equation; Human immunodeficiency virus (HIV); Immunology; Statistics; Internal medicine; Mathematics; Antiretroviral therapy; Environmental health; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004845416,0.0008224126,0.001300834,0.00137627,0.0003901329,0.001301452,0.002620038,0.001165939,0.004513838],"category_scores_gemma":[0.01323663,0.0007043338,0.001578391,0.001157722,0.0007490256,0.001135887,0.001393469,0.001461706,0.0008743473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651963,"about_ca_system_score_gemma":0.001697745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02411398,"about_ca_topic_score_gemma":0.009601536,"domain_scores_codex":[0.9985437,0.0006707194,0.00006655884,0.0003952639,0.0001446449,0.0001791247],"domain_scores_gemma":[0.9929228,0.005233678,0.0008651579,0.0003334546,0.0004645941,0.0001803332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004159827,0.000118754,0.07324074,0.0001762154,0.0005489144,0.0002454869,0.0002882374,0.8747708,0.0008987463,0.009939685,0.001546024,0.03781039],"study_design_scores_gemma":[0.00003706864,0.00007253937,0.00571641,0.00003048328,0.00005688286,0.00005630794,0.00003299665,0.9886878,0.0002172212,0.004129767,0.0009430686,0.00001951771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3895078,0.001187697,0.5999798,0.0009146788,0.0000761976,0.0004014159,0.002648413,0.0005333287,0.004750654],"genre_scores_gemma":[0.9360089,0.0004763074,0.05196222,0.000206756,0.00005384106,0.0004538267,0.002687477,0.00007753556,0.008073091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02411398,"threshold_uncertainty_score":0.04794723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05832020081219807,"score_gpt":0.2571879657909432,"score_spread":0.1988677649787451,"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."}}