Corrigendum: Zearalenone exposure enhanced the expression of tumorigenesis genes in donkey granulosa cells via the PTEN/PI3K/AKT signaling pathway
Bibliographic record
Abstract
We hope this Corrigendum finds you well. l am writing to bring to your attention an error that we have identified in our published manuscript titled "Zearalenone Exposure Enhanced the Expression of Tumorigenesis Genes in Donkey Granulosa Cells via the PTEN/PI3K/AKT Signaling Pathway" in ‘Frontiers in Genetics’ with the manuscript ID: 383585.Upon reviewing our published work, we realized that we mistakenly used incorrect Figure 5B. In attachment, we have replaced the incorrect image in Fig. 5B with the accurate ones. It is important to note that these corrections do not affect the overall conclusions of the study.We understand the significance of maintaining the integrity and accuracy of scientific publications, and we are fully committed to ensuring the correctness of our work. We apologize for this oversight and the additional work it may impose on the journal's editorial staff.Thank you for your understanding and assistance in this matter. We appreciate the opportunity to correct our mistake and maintain the high standards of Frontiers in Genetics.Looking forward to your guidance on the next steps.
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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 | 0.003 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.086 | 0.051 |
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".