Changes in shape and cross‐sectional geometry in the tibia of mice selectively bred for increases in relative bone length
Why this work is in the frame
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Bibliographic record
Abstract
Limb bone size and shape in terrestrial mammals scales predictably with body mass. Weight-bearing limb bones in these species have geometries that enable them to withstand deformations due to loading, both within and between species. Departures from the expected scaling of bone size and shape to body mass occur in mammals that have become specialized for different types of locomotion. For example, mammals adapted for frequent running and jumping behaviors have hind limb bones that are long in relation to body mass, but with narrower cross-sections than predicted for their length. The Longshanks mouse was recently established, a selectively bred line of mice with ~12-13% longer tibiae relative to body mass. This increased limb length resembles superficially the derived limb proportions of rodents adapted for hopping and jumping. Here, 3D geometric morphometrics and analyses of bone cross-sectional geometry were combined to determine whether selection for increased relative tibia length in Longshanks mice has altered the scaling relationship of size and shape, and/or bone robusticity, relative to the tibiae of random-bred control mice from the same genetic background. The results suggest that the Longshanks tibia is not a geometrically scaled version of the control tibiae. Instead, the Longshanks tibia has become narrower in cross-section in relation to its increased length, leading to a decrease in overall bending strength when compared with control tibiae. These changes in bone shape and robusticity resemble the derived morphology of mammals adapted for running and jumping, with important implications for the material properties and strength of bone in these mammals.
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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) | 0.000 | 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 it