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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".