A Hybrid Data Analysis and Mesh Refinement Paradigm for Conformal Voxel Spectroscopy
Bibliographic record
Abstract
Recent advances in magnetic resonance spectroscopy have involved defining a conformal polyhedral shape around the tissue of interest (TOI). Up until now, magnetic resonance spectroscopy involved specifying a cuboid encompassing the volumetric shape of the TOI. The signal obtained from the cuboid includes signal from healthy tissue in addition to TOI, resulting in "contamination" of the total signal with non-TOI signal. Additional, a set of planes known as spatial saturation planes may be prescribed around the TOI so that a larger proportion of TOI to non-TOI signal is obtained. In this paper, we propose and implement an algorithm to optimize spatial saturation plane placement, resulting in greater proportion of signal from the TOI. This involves a better definition of the initial region of excitation using principal component analysis, followed by a mesh-based approach for plane placement
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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) | 0.003 | 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".