Three‐dimensional analysis of basic multicellular units using micro‐computed tomography: Does morphology indicate behavior? (920.2)
Bibliographic record
Abstract
Basic Multicellular Units (BMUs) are groups of cells responsible for the coordination of resorption and formation in cortical bone remodeling. Due to a lack of three‐dimensional (3D) methods, relatively little is known regarding BMU spatio‐temporal ‘behavior’. It has, for example, been hypothesized that all remodeling events are targeted towards microdamage and thus BMU ‘steering’ is an essential aspect of this process. A previous 2D study involving Ursus americanus (black bear) bone revealed extensive active remodeling spaces; thus providing a unique platform for the current study. We sought to characterize the 3D morphology of BMUs to assess the extent of steering as indicated by sudden changes in trajectory. Micro‐CT of metacarpal and metatarsal diaphyses (n=4) provided an unprecedented number of BMUs (3,144) for analysis. Results indicated that majority of BMUs were oriented along the longitudinal axes of the diaphysis. Overwhelmingly, BMUs had a roughly linear course with little evidence of sudden changes in course or branching. This suggests that the BMUs observed were largely untargeted or targeting is tightly associated with the initiation rather than progression of BMUs. Grant Funding Source : Supported by the CIHR Training grant in Health Research Using Synchrotron Techniques
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".