Comparison of tetracycline and temperature sensitive GAL80 transgenes with UAS-lacZ
Bibliographic record
Abstract
ß-galactosidase specific activity was measured during development and aging (Experimental workflow) as described in STAR Protocols 3, 101843, 2022. Two different muscle-specific GAL4 drivers, Mef2-Gal4 (BDSC:27390) and DJ694 (BDSC: 8176), were each crossed with a second chromosome insertion of UAS-lacZ (Bg2) (BDSC: 1776), Bg2 recombined with third chromosome insertions of TetOFF-GAL80 (3.3+1077, PeerJ 5:e4167), and Bg2 recombined with third chromosome insertions of GAL80ts (BDSC:7017). Flies were raised at 20˚C and 29℃. Two independent sets of parents were used for each cross (biological replicates 1 and 2). After 2-3 days, parents were flipped into a new bottles (technical replicates 1 and 2 reported as replicate 3 and 4 in the dataset). CPRG and Bradford assays were performed on whole animal for the third instar larvae (L3), early pupae (EP) and late pupae (LP) stages, and on dissected thoraces for adult stages. Five extracts (1 individual in each) were measured per experimental replicate. Raw microplate readings are available upon request.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.068 | 0.057 |
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".