High‐resolution myelin water measurements in rat spinal cord
Bibliographic record
Abstract
Multiecho imaging data were acquired at 7T from control and injured (dorsal column transection) rat spinal cords ex vivo with in-plane resolution of 61, 78, and 100 microm, and from a control rat spinal cord in vivo with in-plane resolution of 117 microm. The myelin water maps were calculated using nonnegative least-squares (NNLS) analysis of the decay curves. For the control cords, myelin water maps showed details of the cord morphology, and the average myelin water fraction (MWF) values in white matter and gray matter corresponded well with previously published results and the expected amounts of myelin within the cord, and correlated very well with Luxol Fast Blue stain (R(2)=0.95). Myelin water maps from an injured cord showed excellent qualitative correlation with histology. This pilot study demonstrates that high-resolution myelin water mapping in rat spinal cord is feasible, and this technique has potential to be a valuable tool in studying white matter damage in rat models of spinal cord injury.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".