Intra‐element variation in osteocyte lacunar density and morphology in healthy young male cortical bone
Bibliographic record
Abstract
We previously reported considerable intra‐element variation in osteocyte lacunar properties, with density differences up to 30% across a cross‐section of the male (20 yrs) femoral cortex related to the biomechanical axes. The purpose of this research was to determine whether this pattern of variation occurs in a larger sample. Anterior (A), posterior (P), medial (M) and lateral (L) blocks (2×2 mm) were prepared from the proximal femoral shaft of 7 healthy males aged 20–34 and synchrotron micro‐CT imaged. Average lacunar density (± sd) from the APML regions were 22,961 ± 1991, 28,264 ± 4186, 32,082 ± 7731 and 30,525 ± 1977 per mm3 of bone, respectively. Consistent with the pattern observed in the previous study, density was significantly different between the A and the L region (p<0.05). The density of the combined A and P regions was also lower (p=0.006) than that of the combined M and L regions. The differences in density were mirrored by shape differences; with the combined AP region having more elongate (p=0.004) and flattened (p=0.001) lacunae, than those of the ML region. The consistent appearance of this pattern of variation in a larger sample suggests considerable normal variation occurs in the lacunar properties of healthy young males. The underlying functional significance of the observed differences likely relates to localized variations in loading conditions as the pattern corresponds well with mechanical axes. Grant Funding Source : Saskatchewan Health Research Fund
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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 | 0.000 |
| 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) | 0.002 | 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".