Rewiring the Three-Carbon Metabolism Abrogates Multiple MAPK-Induced Cellular Dysfunctions During Metabolic Disorder
Bibliographic record
Abstract
Withdrawal notice The authors have withdrawn their manuscript. The lipidomic data presented in the manuscript were based on an excel summary sheet provided by VIT, whose group (AP and KM) conducted the analysis using an Orbitrap mass spectrometer. However, after submitting to BioRxiv, the VIT group could not recover the RAW (primary source) files from the lipidomic platform because these files were deleted due to the maintenance protocol used for the Orbitrap mass spectrometer. It was agreed to reconduct the lipidomic analysis. As the Orbitrap mass spectrometer was out of service at that time, the lipidomic analysis was conducted with the help of a QToF mass spectrometer. Important differences were noted for the relative abundance and species of many lipids across the strains compared to the previously reported data hence casting some doubt on their interpretation. Therefore, until further analysis can be carried out the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".