Detection of aneuploidy in human sperm by fluorescence in situ hybridization (FISH): different frequencies in fresh and stored sperm nuclei
Why this work is in the frame
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Bibliographic record
Abstract
Fluorescence in situ hybridization (FISH) with chromosome-specific repetitive DNA probes provides a new method for rapid detection of aneuploidy in human sperm. There is widespread interest in this technique for basic research, as well as for screening men exposed to potential aneugens. A number of laboratories have reported a wide range in the frequency of aneuploidy for chromosomes in human sperm, suggesting that FISH may not reflect the true frequency accurately. We have serendipitously discovered that the length of time that fixed frozen sperm nuclei are stored affects both the hybridization efficiency and disomy frequency of individual chromosomes. This may explain some of the variation in the aneuploidy frequencies observed among laboratories.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it