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
It has been known for more than 30 years that growth hormone has a lipolytic properties and growth hormone excess (acromegaly) and growth hormone deficiency have been reported to be associated with abnormalities in serum lipoprotein concentrations. Due to the lipolytic effect of growth hormone, its administration in man has been reported to increase plasma nonesterified fatty acid (NEFA) concentrations. Ketone body production increases during acute growth hormone excess as a result of increased NEFA concentrations; similarly, the increase in serum triglycerides may be explained by an increase in substrate (NEFA) supply to the liver for VLDL production. The effect may be enhanced by a simultaneous decrease of serum lipoprotein lipase activity. The cholesterol-lowering effect of growth hormone administration has not been investigated in detail, specifically, the effect of growth hormone on LDL kinetics is unknown. Growth hormone-excess and growth hormone deficiency have been reported to be associated with increased risk for atherosclerosis; an association with serum lipoprotein changes is likely but evidence for a causal link is yet lacking.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
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