Bibliographic record
Abstract
In Drosophila, the gene spaetzle (Spz) encodes a protein involved in the production of an immune cell called a hemocyte. Specifically, this protein triggers a signal transduction cascade (a series of intracellular chain reactions) in order to produce the immune cell. However, there are 5 other Spz homologs (genes that are similar to one another), and little is known about their role in hemocyte production. My goal was to specifically examine the expression of each Spz homolog in hemocyte cells. Using RNA extracted from hemocytes of Drosophila larvae, a RT-PCR (a method of amplifying RNA via a DNA intermediate) was conducted using primers specific to each homolog, and the PCR products were then run out through gel electrophoresis. The bands produced on the gel were then compared to the expected cDNA sizes of each Spz homolog from flybase to determine if there was expression of the homologs in hemocytes. The Spz homologs 2, and 3 consistently showed expression in Drosophila larvae hemocytes, while the homologs Spz 4, Spz 5 and Spz 6 also showed expression. However, the expression seen with these three homologs was not as consistent compared to the others. Therefore, the homologs Spz 2 and Spz 3 are clearly expressed in Drosophila larvae hemocyte cells. Faculty Mentor: Agata Becalska Department: Biological Science
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 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 | 0.000 | 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 | 0.001 |
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".