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Record W2002212759 · doi:10.1093/gerona/63.4.331

The Biological Sciences Section Program at the 60th Annual Meeting of The Gerontological Society of America

2008· article· en· W2002212759 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journals of Gerontology Series A · 2008
Typearticle
Languageen
FieldMedicine
TopicAging, Health, and Disability
Canadian institutionsUniversity of British Columbia
FundersNational Institute on AgingEllison Medical Foundation
KeywordsTelomeraseGerontologyEpigeneticsDiseaseThe RenaissanceSuccessful agingBiologyMedicineGeneticsHistoryPathology

Abstract

fetched live from OpenAlex

In this era of genomics and other exciting technical advances, research on the biology of aging is undergoing a renaissance. This report summarizes 10 cutting-edge areas of research covered in symposia that spanned such topics as stem cells, novel vaccine strategies, nutritional sensing, new concepts of Parkinson's disease, high throughput screening for aging interventions, manipulating telomerase in cancer and immunodeficiency, synergy between aging and HIV disease, and epigenetic influences on aging. Novel animal models, including those showing no evidence of aging, as well as ethical and political implications of embryonic stem cells and alternative medicine are also discussed.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.012
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.103
GPT teacher head0.373
Teacher spread0.269 · 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