Computing periodicities in strings: A new approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We established a nested case-control study cohort of myelodysplastic syndrome patients (n = 435). And 41 patients had conditions progressing to leukemia (case group = 41), 342 patients had no leukemic transformation (control group = 342), and 52 patients died. Bone marrow mononuclear cell of the patients in the case group and after the evolution were analyzed for the gene expression microarray test (self-control study), whereas the bone marrow mononuclear cell of the paired patients extracted at diagnosis were analyzed for the gene expression microarray test (case-control study). By incorporating the results of above two studies, we identified the genes related to the transformation of myelodysplastic syndrome to acute leukemia. A total of 958 deregulated genes were identified via bioinformatics analysis. Further analyses identified a subset of six genes that help distinguish between the case and control groups. These genes are TUBB, PSMD1, SLC7A5, ATG3, TUBB2C, and TIMM10. The combined gene expression microarray test and nested case-control study method identified a subset of six genes that help distinguish between the case and control groups. The six genes may play critical roles in the evolution of myelodysplastic syndrome to acute leukemia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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