Bibliographic record
Abstract
The glycosaminoglycan (GAG) composition of a number of large and medium-sized arteries was studied in 6 alloxan-diabetic beagles and was compared with 6 normal, age-matched controls. Diabetic animals were maintained on diet and insulin for 100 days. The aortic arch, thoracic and abdominal segments, external iliac, superior mesenteric, renal, common carotid and coronary arteries were analyzed for hyaluronic acid (HA) and for heparan (HS), dermatan (DS), and chondroitin (CS) sulphates. All diabetic dogs displayed significant alterations. The HA content was reduced in iliac arteries, and together with HS, also in the thoracic aorta. HS or CS were increased in carotid, iliac and renal arteries, DS, a GAG constitutent with very high affinity for low density lipoproteins, was significantly increased in coronary arteries alone. 2 additional animals which are excluded from this series did not become diabetic after alloxanization and showed no change in arterial GAG content. Early changes in the chemistry of the arterial ground substance seem to provide a clue to the precocious development of atherosclerotic disease in diabetes.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".