Bibliographic record
Abstract
Introduction: It is expected that the surface cells of corneal epithelium in dromedary camel play an effective and influential role in survivals in the arid and semiarid regions.There are no reported scanning electron microscopy (SEM) studies on the anterior surface of corneal epithelium in dromedary camel.The present study aimed to describe the shape, topographic distribution and density of the surface cells of corneal epithelium in dromedary camel using SEM study. Materials and Methods:A total of 12 healthy corneas obtained directly post-mortem.Each one was divided into nine small parts namely; central (C), middle dorsal (MD), middle ventral (MV), middle nasal (MN), middle temporal (MT), peripheral dorsal (PD), peripheral ventral (PV), peripheral nasal (PN), peripheral temporal (PT).All parts were examined using scanning electron and light microscopy separately.Cells densities were analyzed using ImageJ-analysis software.Results: The superficial cells of the corneal epithelium were characterized by SEM as a light, medium and dark mosaic, polygonal cells covered with microplicae.Microplicae were more numerous over the light cells than others cells.The PV part showed the highest density of light cells (1178 light cells), while the central part appeared to have the lowest density of light cells (166 light cells).The topographic distribution of light, medium and dark cells showed a well-defined concentration of light younger cells in PV (92.5%),PN (78.5%),MN (78%), MT (74%), PD (73%), PT (70%), MV (68.7%),MD (66.3%) and C (19.3%) parts respectively. Conclusion:The light younger cells extensively predominate on the medium and dark aged cells all over the corneal parts except the central part thus, representing an adaptive modification in relation to a severe environment.The peripheral ventral and peripheral nasal corneal parts represent the permanent and endogenous source as well as a proliferative reserve of superficial corneal epithelial cells.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.660 | 0.527 |
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".