MétaCan
Menu
Back to cohort
Record W4283463712 · doi:10.1016/j.ebiom.2022.104122

The grace of aging with ART: Ex vivo dendritic cell-based immunotherapy restores HIV-specific functional CD8+ T-cells

2022· article· en· W4283463712 on OpenAlexaff
Vikram Mehraj, Jamil Ahmed, Jean‐Pierre Routy

Bibliographic record

VenueEBioMedicine · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsCD8Citric acid cycleBiologyImmune systemPhysiologyImmunologyBiochemistryMetabolism

Abstract

fetched live from OpenAlex

The Nobel Prize in Physiology or Medicine 1953 was shared between Sir Hans Adolf Krebs, a German-British biochemist, and Fritz Albert Lipmann, a German-American biochemist for their pioneer work on metabolism.1 The former earned it for his discovery of tricarboxylic (TCA) or Krebs cycle, and the later earned it for his discovery of coenzyme A that completed the gap in the initial Krebs cycle. TCA cycle being a major source of energy for cells plays an important role in aerobic respiration in the mitochondria.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.227
Teacher spread0.216 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueEBioMedicineSame topicHIV Research and TreatmentFrench-language works237,207