Nuclear translocation matters: Role of FABP7 in driving glioblastoma stemness and invasion: Reply to Mu et al.
Bibliographic record
Abstract
Journal Article Nuclear translocation matters: Role of FABP7 in driving glioblastoma stemness and invasion: Reply to Mu et al. Get access Rong-Zong Liu, Rong-Zong Liu Department of Oncology, University of Alberta, Cross Cancer Institute, Edmonton, Alberta, Canada Search for other works by this author on: Oxford Academic PubMed Google Scholar Won-Shik Choi, Won-Shik Choi Department of Oncology, University of Alberta, Cross Cancer Institute, Edmonton, Alberta, Canada Search for other works by this author on: Oxford Academic PubMed Google Scholar Roseline Godbout Roseline Godbout Department of Oncology, University of Alberta, Cross Cancer Institute, Edmonton, Alberta, Canada Corresponding Author: Roseline Godbout, PhD, Department of Oncology, University of Alberta, Cross Cancer Institute, 11560 University Avenue, Edmonton, Alberta T6G 1Z2, Canada (rgodbout@ualberta.ca). https://orcid.org/0000-0002-4779-9265 Search for other works by this author on: Oxford Academic PubMed Google Scholar Neuro-Oncology, Volume 26, Issue 3, March 2024, Pages 590–591, https://doi.org/10.1093/neuonc/noad239 Published: 19 January 2024 Article history Corrected and typeset: 19 January 2024 Published: 19 January 2024
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".