Molecular profile of Treeshrew, a promising experimental animal for medical research
Bibliographic record
Abstract
Scandentia order in Euarchontoglires consists of two families, Tupaiidae and Ptilocercidae , including five genera that contain 20 species. Genus Tupaia having 15 species is the largest genus in the order Scandentia . Most species in Scandentia have a karyotype 2n=52–68, therein, the well-known common treeshrew ( Tupaia glis ) has 2n=60; Northern treeshrew ( Tupaia belangeri chinensis , has 2n=62; pygmy treeshrew ( Tupaia minor ) has 2n=66 and mountain treeshrew ( Tupaia montana ) has 2=68, whereas only one species Mindanao treeshrew ( Urogaleeveretti ) has 2n=44. The whole genome Northern treeshrew ( Tupaia belangeri chinensis ) was sequenced and assembled recently. The size of a 2.86 GB genome was assembled that contains approximately 22 063 protein coding genes very closer to human gene number, and contains 35% of the repeat important element, and 14% of the dominated transposeon in the treeshrew genome. The functional annotation of some important genes and gene families will facilitate treeshrew becoming a promising experimental animal for medicine evaluation alternative to nonhuman primates.
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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 | 0.001 |
| 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) | 0.001 | 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".