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Record W4249186542 · doi:10.1097/coh.0000000000000099

Editorial introductions

2014· article· en· W4249186542 on OpenAlexaboutno aff

Bibliographic record

VenueCurrent Opinion in HIV and AIDS · 2014
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)Library scienceSection (typography)MedicineAssociate editorFamily medicineGerontologyComputer science

Abstract

fetched live from OpenAlex

Current Opinion in HIV and AIDS was launched in 2006. It is one of a successful series of review journals whose unique format is designed to provide a systematic and critical assessment of the literature as presented in the many primary journals. The fields of HIV and AIDS are divided into nine sections that are reviewed once a year. Each section is assigned a Section Editor, a leading authority in the area, who identifies the most important topics at that time. Here we are pleased to introduce the Section Editors for this issue. SECTION EDITORS Daniel E. KaufmannDaniel E. KaufmannDaniel E. Kaufmann, MD, is currently an Associate Professor at the University of Montreal Hospital Research Center (CRCHUM), in Montreal, Canada, and a Visiting Associate Professor at the Ragon Institute of MGH, MIT and Harvard in Cambridge, USA. He studied at the Schools of Medicine of Lausanne and Zurich, Switzerland. He specialized in internal medicine at the University Hospital of Lausanne before fellowship training in infectious diseases at the University Hospital of Lausanne and at the Massachusetts General Hospital of Boston, USA. Dr Kaufmann's research interests focus on two major areas: the causes of T cell impairment in HIV infection and the understanding of effective CD4 T cell help to combat or prevent this viral disease. He is particularly interested in molecular mechanisms that control a potentially reversible HIV-specific T cells dysfunction. He also studies the modulation of the functional plasticity of CD4 T cells in the inflammatory environment of HIV infection, in particular in individuals who present suboptimal immune restoration in spite of optimal viral control by therapy. The goal of these projects is the identification of molecular targets for adjuvant therapies that could complement ART. Another area of investigation is the identification of protective components of the T follicular helper response that allow generation of broadly neutralizing antibodies against diverse HIV strains, a likely key component of any future effective HIV vaccine. Dr Kaufmann also provides patient care and serves as attending physician in the Department of Microbiology and Infectious Diseases at the University of Montreal Hospital. Nabila SeddikiNabila SeddikiNabila Seddiki is a Senior Lecturer at the Paris-Est Créteil University (UPEC), France. She holds an INSERM “Chaire d’Excellence en Immunologie et Maladies Infectieuses” at Institut Mondor de Recherche Biomédicale (IMRB) and the Vaccine Research Institute (VRI) in Créteil, France. Before that she was a Research Fellow at the Centenary Institute (University of Sydney, Australia) and then a Senior Scientist at the National Centre for HIV Epidemiology and Clinical Research (University of New South Wales, Australia). Dr Seddiki's research interests focus on the cellular and molecular characterisation of T-cell subsets. She is particularly interested in investigating the role of regulatory T cells (Tregs) and effector CD4+ T-cell subsets in HIV-1 infection. The highlight of her career so far is the discovery of a new means of accurately identifying human natural Tregs by using expression of cell surface CD25 (IL-2R-alpha) and CD127 (IL-7R-alpha). This work has been patented, licensed and is currently commercialized for research and clinical use worldwide. More recently, her work led to the identification and isolation of antigen-specific Tregs by using cell surface expression of CD25, CD134 and CD39. Lately, Dr Seddiki has been investigating the role of microRNA and chromatin remodeling in the regulation of target molecules during HIV-1 infection. All these studies aim at understanding HIV pathogenesis and deciphering the mechanisms that lead to CD4+ T cell depletion during infection.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.788
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.313
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

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