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
Measurements of body composition are made to assess nutritional status. The measurements used for these studies should be selected on the basis of reliability, as well as simplicity and costs, and reliability depends on the information required. In normal adults simple estimates of fat and lean tissue (LBM), i.e. the anthropometric measurements of weight, height and skin fold thickness, should be sufficient since the proportions, in LBM, of water, protein and bone mineral are relatively constant. Measurements of body water (by isotope dilution or bioelectrical impedance) allow indirect estimates of fat and LBM that are reliable, provided that water is a constant proportion of LBM. In disease states, however, including renal disease, it is well established that the proportion of water in LBM varies from significant water overload to dehydration. In disease, it is important to determine not only total LBM but also the quality of LBM, determining essential body protein as well as body water. Body protein can be measured directly by nuclear techniques. This procedure should be more readily available for the clinical investigation of nutritional status.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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