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Record W4399386830 · doi:10.1097/coh.0000000000000862

Editorial introduction

2024· article· en· W4399386830 on OpenAlexaboutno aff

Bibliographic record

VenueCurrent Opinion in HIV and AIDS · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsComputer 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 six sections that are reviewed once a year. Each section is assigned one or two Section Editors, leading authorities in the area, who identify the most important topics at that time. Here we are pleased to introduce the Section Editor for this issue. SECTION EDITOR James B. WhitneyJames B. WhitneyJames is a virologist and investigator at Boston College, USA. He moved to Boston College in 2021 and is presently a Research Professor in the Department of Biology. His PhD work was conducted at McGill University, Canada, in the laboratory of the late Dr Mark Wainberg. He undertook his postdoctoral studies at the Beth Israel Deaconess Medical Center in the laboratory of the late Dr Norman Letvin. James has maintained a NIH funded laboratory since 2011. His research focuses on HIV remission and emerging infectious diseases.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation 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: Editorial
Teacher disagreement score0.121
Threshold uncertainty score0.405

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.031
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.001
Science and technology studies0.0020.001
Scholarly communication0.0080.004
Open science0.0020.002
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.1210.063

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 head0.020
GPT teacher head0.331
Teacher spread0.311 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

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