Bibliographic record
Abstract
The Transforming Growth Factor (TGF)- beta-Smad signaling pathway regulates diverse biological processes essential for normal development and homeostasis. The Smad-interacting transcriptional modulator SnoN and its related homologs have emerged as important modulators of TGF-beta signaling and responses. SnoN forms a physical complex with the TGF-beta-regulated Smad2/Smad3 and co-Smad4 proteins and either represses or stimulates TGF-beta-induced Smad-dependent transcription in a cell- and promoter-specific manner. In addition, the TGF-beta-activated Smads recruit several ubiquitin ligases to SnoN and thereby promote the ubiquitination and consequent degradation of SnoN. Additional modifications of SnoN, including sumoylation, may contribute to the regulation of SnoN function and its role in TGF-beta signaling. Collectively, these studies suggest that SnoN function is intimately linked to the TGF-beta-Smad pathway in cellular signaling. Although the mechanisms by which SnoN modulates signaling in the TGF-beta-Smad pathway are beginning to be characterized, the full range of SnoN functions and underlying mechanisms in normal development and disease processes remains to be elucidated.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.006 |
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".