Characterization of the Porcine Cingulate Sulcus Cytoarchitecture
Bibliographic record
Abstract
Cortical folding (gyrification) is a unique process by which the brain can expand and increase surface area while confined by the boundaries of the inner wall of the skull. Although there is still much debate about the exact mechanisms concerning the genetic and cellular factors involved in this process, gyrification results in a heterogenous organization of neuronal layering and cell types not seen in the smooth, lissencephalic brain of rodents. In this article, we describe differences in neuronal density and supporting cells within the depths (fundus) and adjacent walls of the cingulate sulcus of the porcine brain. We also measured the distance between pyramidal neurons within Layers III and V to investigate if the observed increase in density of neurons within the cingulate fundus is associated with a decrease in distance between neurons in these layers. We also identify the presence of the gigantopyramidal neuron within the fundus of the porcine cingulate sulcus, a pyramidal neuron subtype seen in nonhuman primates and human brains. Taken together, this article provides evidence that further supports the heterogeneous composition of the gyrified brain by describing the cellular organization of the porcine cingulate sulcus.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".