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Record W4405960774 · doi:10.1093/geroni/igae098.0906

JOURNAL OF GERONTOLOGY: BIOLOGICAL SCIENCES

2024· article· en· W4405960774 on OpenAlex
Gustavo Duque

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

VenueInnovation in Aging · 2024
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsGerontologyMedicine

Abstract

fetched live from OpenAlex

Abstract The “Journal of Gerontology: Biological Sciences” is a peer-reviewed academic journal that focuses on research related to the biology of aging. It covers a broad range of topics within this field, including genetics, cellular aging, molecular mechanisms of aging, age-related diseases, and interventions to promote healthy aging. More recently, we have participated in the creation of a Translational Geroscience Section, which integrates the growing subject of geroscience into both the medical and biological sections of the journal with an emphasis on the translation of discoveries into clinical practice. Our journal serves as a valuable resource for researchers, clinicians, and policymakers interested in addressing the challenges and opportunities associated with an aging population. In this session, the editorial criteria for selecting the highest-quality manuscripts will be discussed. In addition, practical tips for preparing manuscripts reporting biomedical research will be provided.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.123

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.139
GPT teacher head0.452
Teacher spread0.313 · 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