Synergie entre les complexes de transcription et de maturation des ARN messagers
Bibliographic record
Abstract
Processing of eukaryotic pre-mRNAs is an important step for the translation of proteins. These processing events include the addition of a cap structure at the 5' terminus of the pre-mRNA, the splicing out of introns and the acquisition of a polyadenosine tail at the 3' terminus of the pre-mRNA. It has now become apparent that the RNA processing events can significantly influence each other. RNA polymerase II appears as a key player in these processes, cooperating with numerous processing factors that are involved in capping, splicing, and polyadenylation. More specifically, the carboxyterminal domain of the large subunit of the enzyme plays a critical role in coordination of the processing events. The number of interactions between the various RNA processing events identified so far reflects the complexity of these reactions. As more studies focus on these interactions, additional links and cellular partners will undoubtedly be discovered.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".