Is oestrogen receptor- β a predictor of endocrine therapy responsiveness in human breast cancer?
Bibliographic record
Abstract
The role of oestrogen receptor (ER) beta in human breast cancer remains unclear. However, it is now apparent that when considering ER beta in human breast cancer it is important to recognise two ER beta expressing groups, one in which ER beta is co-expressed with ER alpha and the other where ERbeta is expressed alone. Emerging data support different functions between ER beta when it is expressed alone and when it is co-expressed with ER alpha. With regard to the latter group (ER alpha +/ER beta +), there are now 9 out of 10 retrospective clinical outcome studies published, that support the hypothesis that increased expression of ER beta is associated with increased likelihood of response to endocrine therapy. The data strongly support undertaking prospective studies to determine if the addition of ERbeta to ER alpha is clinically beneficial and whether to include both ER beta and ER alpha when establishing clinically relevant cut-offs for defining ER status.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".