Orientation of Nuclei as Indicators of Smooth Muscle Cell Alignment in the Cerebral Artery
Bibliographic record
Abstract
Geometric measurements were made of the nuclei of the muscle cells of the tunica media of human intracranial arteries. The nuclei measured 37 +/- (SD) 6.4 micron in length, and 2.0 /+- (SD) 0.83 micron average width and have a number density of 10(5) nucei/mm(3) (number per unit volume of tunica media). From the work of others it was known that the nuclei are centrally located within the cytoplasm of the muscle cell; because of this we have used the nuclei as indicators of alignment of the muscle cells themselves, making measurements from light micrographs of arterial sections stained with haematoxylin and eosin. On average, the nuclei were oriented at an angle that was not significantly different from a zero-degree pitch for the five sections analyzed in detail.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 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".