Variation of the auditory system in the Indian Gerbil, Tatera indica Hardwicke, 1807, (Muridae, Rodentia) from the east of Iran
Bibliographic record
Abstract
The Indian Gerbil ( Tatera indica ) is one of the most successful species in the east of Iran regarding the population size and distributional range. Many factors are effective in the success of this species, but the tympanic bulla and external ear with a special role in increasing sensitivity could be very important. In this study, these two characters were examined in 108 skulls of the adult Indian Gerbil from different localities in the east of Iran. The results of this study show an increasing trend in the volume of tympanic bulla and length of external ear from higher to the lower latitudes in accordance with Allen's rule. This increase is significant in the southeast Iran population. The increase of the body size in the Indian Gerbil was also documented from the northeast toward the southeast Iran. The negative correlation between the body size and latitude implies thermoregulatory response of the Indian Gerbil to the cold climate of the northeast Iran. It can also reflect food scarcity in desert areas of the southeast Iran comparing with the northeast areas inhabiting by the Indian Gerbil. This study proposed that an increase in auditory sensitivity would be advantageous for the gerbil's ability to escape predation, to mate, and to compete for resources.
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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".