Is there a correlation between the structure of hair and breast cancer or BRCA1/2 mutations?
Bibliographic record
Abstract
It has been suggested that the small angle x-ray scattering (SAXS) pattern of human hair can be used to diagnose breast cancer and possibly to identify BRCA1/2 mutation carriers, who are at significantly elevated risk for developing breast cancer. In particular, the presence of a diffuse ring in the SAXS pattern was said to be diagnostic of either breast cancer or an increased risk thereof. To test this hypothesis, we measured SAXS from the pubic hair of 56 subjects with known BRCA1/2 and breast cancer status. We found that there is no clear association between the pattern of SAXS seen in human pubic hair and the risk of breast cancer or the presence of BRCA1/2 mutations. The possible use of SAXS to diagnose cancer remains conjectural, but this and previous studies do not suggest that SAXS can be used as a reliable method of identifying either BRCA1/2 mutation carriers or women who have had breast cancer.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".