Optimization of perfusion decalcification for bones and joints in rats
Bibliographic record
Abstract
Decalcification of osseous tissues by perfusion of decalcifying solution into the vascular system has never been applied to the study of peripheral joints. To optimize perfusion methods, rats were decalcified by direct immersion or by one of two perfusion techniques: 1) systemic perfusion circulating the decalcifying solution from the ascending aorta; and 2) regional perfusion circulating the solution to the lower extremities from the abdominal aorta. The process of decalcification was monitored by serial radiographic examinations. After decalcification, bone and joint samples were stained for histochemistry and immunohistochemistry. With systemic perfusion, the decalcification time, dependent on weight, was markedly reduced compared to immersion. Regional perfusion decalcification was faster than all other methods studied. Microstructural preservation was comparable and immunostaining quality often improved. Applications of this work will improve the study of basic skeletal and articular problems.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".