MNI T1 6thGen NLIN to MNI 2009b NLIN ANTs transform
Bibliographic record
Abstract
This nonlinear transform warps between two different MNI templates.<br>Specifically, it warps from• MNI 152 6th generation atlas (used within SPM and FSL) that can be found here: http://nist.mni.mcgill.ca/?p=858<br>to the• MNI 152 2009b NLIN template (used within Lead-DBS) that can be found here: http://nist.mni.mcgill.ca/?p=904<br>The 2009b version (as opposed to the 2009a and c versions) is the only one available in 0.5mm resolution.<br>The transform has been applied to several atlases distributed within Lead-DBS from version 1.4.9.4 on.<br>More detailed information on this matter may be found here: http://www.lead-dbs.org/?p=1241<br><br><br>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.916 | 0.131 |
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; both teacher heads agree on what is shown here.
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".