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Record W2907505122 · doi:10.1016/j.japb.2018.12.003

Variation of the auditory system in the Indian Gerbil, Tatera indica Hardwicke, 1807, (Muridae, Rodentia) from the east of Iran

2019· article· en· W2907505122 on OpenAlexaff
Asghar Khajeh, Zeinolabedin Mohammadi, Fatemeh Ghorbani, Javad Meshkani

Bibliographic record

VenueJournal of Asia-Pacific Biodiversity · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGerbilBiologyPopulationZoologyBulla (seal)DemographyMedicine

Abstract

fetched live from OpenAlex

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. Keywords: Auditory system, Ear length, Indian Gerbil, Tatera indica, Tympanic bulla

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.183
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2019
Admission routes1
Has abstractyes

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