[Corrigendum] Evaluation of eight reference genes for quantitative polymerase chain reaction analysis in human T lymphocytes co‑cultured with mesenchymal stem cells
Bibliographic record
Abstract
Following the publication of the above article, the authors contacted the Editorial Office to explain that Fig. 1A and some of the images in Fig. 1B in the paper had already been published in Fig. 1 in another article by the same authors, and they had forgotten to cite the former publication. The paper in which these data appeared was as follows: Li X, Yang Q, Bai J, Xuan Y and Wang Y: Identification of appropriate reference genes for human mesenchymal stem cell analysis by quantitative real‑time PCR. Biotechnol Lett 37: 67‑73, 2015. Fig. 1 of the above paper is reprinted opposite, now with the original source of the figure acknowledged in the form of a reference citation at the end of the Figure caption. The authors apologize to the publishers of Biotechnology Letters for having failed to include a proper acknowledgement for use of the figure in the above publication. [the original article was published in Molecular Medicine Reports 12: 7721-7727, 2015; DOI: 10.3892/mmr.2015.4396]
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.079 | 0.088 |
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".