Correlations between Major Brain Regions in Chiroptera
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Unlike small homogeneous nuclei, progression indices of large heterogeneous brain regions show no negative correlations and give no evidence of compensatory effects, presumably because the evolutionary progressions and regressions of multiple neighboring functions mask each other. The diencephalon and various parts of the telencephalon show large positive correlations, apparently reflecting the general increase in size of the brain, relatively to body weight, from presumably primitive to advanced forms. The neocortex is strongly correlated with the striatum, a putative precursor, and with the diencephalon, but less strongly correlated with the cerebellum in Chiroptera than in Primates. The mesencephalon is moderately correlated with the medulla oblongata and cerebellum, but uncorrelated with all parts of the telencephalon except the paleocortex. The bulbus olfactorius is correlated with the septum, schizocortex and hippocampus, but these correlations may be due mostly to the progression of these four structures in Megachiroptera and their regression in insectivorous Microchiroptera, and may not imply major direct functional relationships.
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.
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 it