The mRNA Closed-loop Model: The Function of PABP and PABP-interacting Proteins in mRNA Translation
Bibliographic record
Abstract
Translational control is an important means by whichcells govern gene expression. It provides a rapid responseto growth and proliferation stimuli and plays a role incontrolling feedback mechanisms in the cell. In systemswith little or no transcriptional control (e.g., reticulocytesand oocytes), translation is the predominant mode of regulation of gene expression (for review, see Mathews et al.2000). Initiation, the rate-limiting step of translation, isoften the target of translational control. All nuclear-transcribed eukaryotic mRNAs possess a 5′ cap (m7GpppN,where m is a methyl group and N is any nucleotide), andmost possess a 3′ poly(A) tail. The focus of this paper isthe role of the poly(A) tail and the poly(A)-binding protein (PABP) in translation initiation. Such an analysis requires a brief introduction of translation initiation and itscontrol...
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".