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
Effects of obesity and age on copper, iron, zinc, sodium, potassium, and protein were compared in liver, kidney, brain, and muscle of obese (fa/fa) and nonobese (non-fa/fa) male Zucker rats. Blood plasma cerulopasmin, copper, zinc, sodium, and potassium were also determined. Mean brain weight of fa/fa rats was less than that of non-fa/fa rats at 12 weeks of age; mean brain protein concentration was greater in fa/fa than in non-fa/fa at 5 and 12 weeks of age. At 18-19 days of age, mean sodium concentration (mg/g protein) in liver of fa/fa was less than that of non-fa/fa. At 5 weeks of age, mean copper concentration (microgram/g protein) in kidney was greater in fa/fa. Mean total copper, iron, zinc, sodium, and potassium in liver and kidney were greater in fa/fa than in non-fa/fa at 5 weeks because of the larger livers and kidneys of fa/fa. Mean concentrations of copper, zinc, sodium, and potassium per gram of brain protein were slightly (6-10%) less in fa/fa than in non-fa/fa at 5 weeks. By 12 weeks, mean concentrations of copper in liver, kidney, (tibialis) muscle, and blood plasma, ceruloplasmin in blood plasma, zinc in liver and muscle, iron in muscle, and sodium in liver were greater in fa/fa than in non-fa/fa. However, total amount of each mineral in muscle at 12 weeks was less in fa/fa than in non-fa/fa because of the smaller mean muscle weight of fa/fa. Mean concentrations of copper and zinc in brain and of iron in liver and brain were less in fa/fa than in non-fa/fa at 12 weeks. The major age-related changes in fa/fa that were not observed in non-fa/fa were large increases in liver and kidney copper between 5 and 12 weeks of age. It seems that the abnormal mineral metabolism is a consequence of the obesity, but the mechanisms are not identified.
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) | 0.000 | 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) | 0.001 | 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