335 The Dog Aging Project: An open science study of aging in companion dogs.
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.
Bibliographic record
Abstract
Abstract Age is the greatest risk factor for most major causes of death and disability in developed nations. Although many aspects of aging are shared, the rate and order of various functional declines and onset of disease can vary greatly among individuals. The mechanisms underlying individual trajectories of aging are influenced by a complex combination of genes, environment and lifestyle that remains poorly understood. Most of what we know about the biology of aging comes from laboratory studies of inbred, lab-adapted species--yeast, worms, flies, and mice. While these laboratory models have facilitated rapid progress in identifying conserved mechanisms of aging, translation has been limited by the challenge of identifying causal determinants of aging in the real world. To better understand how genes and environment shape aging outside of the lab, we have turned to the companion dog, an animal that ages rapidly and shares the human environment. The Dog Aging Project is an open science, long-term longitudinal study of aging in tens of thousands of companion dogs. The objectives of this study are to identify the genetic, environmental, and lifestyle factors that influence aging in dogs, to discover the underlying molecular mechanisms by which they do so, and to use the insights gained to increase the duration of healthy lifespan in dogs and people.
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.
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Open science Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it