Erratum to: BCoR-L1variation and breast cancer
Bibliographic record
Abstract
Following the publication of our article [1] we noticed that, due to a production error, the figure legends and images were incorrectly matched. All legends were correctly placed, and cited in the text, but were associated with the wrong image. The figures should therefore appear in the order shown in this correction. Figure 1 BcoR-L1 expression in cancer and normal cell lines. (a) BCoR-L1 expression in cancer and normal cell lines. (b) Mean and standard deviation of BCoR-L1 expression in cancer and normal cell lines. Normal cell lines: ovarian – OSE 64/96, HOSE 17.1; ... Figure 2 BCoR-L1 haplotype sharing family pedigree detailing carriers of the c.516T>C and c.3608-156C>T variants. = breast cancer-positive; c.516T>C and c.3608-156C>T-positive. = breast cancer-negative; c.516T>C and c.3608-156C>T-positive. ... Figure 3 BcoR-L1 expression in lymphoblastoid cell lines (LCLs) from breast cancer families. (a) BCoR-L1 expression in LCLs from breast cancer families (normalised to GAPDH). (b) BCoR-L1 expression in LCLs from breast cancer families (normalised to DIDO-1). (c) ... Figure 4 Variation in control gene expression. (a) Variation in control gene expression in lymphoblastoid cell lines. (b) Variation in control gene expression in cell lines. DIDO-1, death inducer-obliterator 1; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; ...
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".