What Can MR Spectroscopy Measures of Occipital GABA tellabout Visual Plasticity in Human Adult?: Exp3 Dataset
Bibliographic record
Abstract
Dataset from Exp3 in "Proulx, Sébastien, Sheynin, Yasha, Hess, Robert, & Farivar, Reza. (2020). What Can MR Spectroscopy Measures of Occipital GABA tell about Visual Plasticity in Human Adult?. Zenodo. http://doi.org/10.5281/zenodo.4034898". Data was collected in 3-min measures: 3 pre-deprivation seperated by 3-min breaks and 3 deprivation measured at 30, 50 and 70 minutes into deprivation. The 'data' variable from the exp3Data.mat file stores percept durations that were logged then averaged within measures. The 'dataTot' variable from the exp3Data.mat file is the same data as in the 'data' variable, but processed differently as the fraction of a measure time (180min) a given percept is perceived. Metadata is included in the data and dataTot variable structure.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".