Bibliographic record
Abstract
Hippocampal Tissue segmentations, T1w, T2w, and mean DWI b1000 images in upsampled 0.3mm left and right bounding boxes around the hippocampus. Subjects are from the HCP-1200 Young Adult dataset. These data were used to train the current HippUnfold U-net segmentation models. Unzip all the zip files, folders will be created for the labelmaps, T1w, T2w, and b1000 images for each hemisphere and subject. Left hipp labels are already L-R flipped to the right side. Labelmap lookup table: <pre>index name abbreviation 1 hippocampal grey matter GM 2 SRLM or 'dark band' SRLM 3 neocortex (entorhinal or parahippocampal) MTLC 4 pial surface Pial 5 hippocampal-amygdalar transition area HATA 6 indusium griseum IndGris 7 cysts Cyst 8 dentate gyrus DG</pre>
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.017 | 0.025 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.128 | 0.007 |
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".