Finding of <i>IFNγ</i> gene enhancers and their core sequences
Bibliographic record
Abstract
DNA segmentation methods were used to study which fragments of the human IFNγ gene possess enhancer activity. The human IFNγ gene was divided into 240-bp fragments, which were inserted between the GFP gene and the Alu tandem sequence to determine whether the inserted sequences eliminate the inhibition induced by the Alu tandem sequence. We found that five different 240-bp fragments (FUIFN3F3R, IFN4F4R, IFN6F6R, IFN21F21R, and IFN22F22R) and two 60-bp core sequences (IFN6-2F2R and IFN21-3-4F3-4R) derived from the IFNγ gene contain enhancers that can activate the GFP reporter gene. These enhancers may be targets of IFNγ gene expression regulation.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".