Molecular diagnostics in follicular non-Hodgkin's lymphoma: a review.
Bibliographic record
Abstract
Follicular lymphoma is a low-grade, indolent non-Hodgkin's lymphoma characterized by the presence of the t(14;18) translocation. The detection of this translocation using polymerase chain reaction techniques has been increasingly studied. However, the diagnostic and prognostic value of detecting t(14;18) rearrangements has been questioned. Translocation has been identified in a significant proportion of healthy donors and patients with nonmalignant diseases. Clearance of t(14;18) rearrangements following conventional treatments, purging of bone marrow/peripheral blood stem cells, and transplantation is associated with improved long-term outcome of patients with follicular lymphoma. Until randomized studies confirm the clinical utility of polymerase chain reaction detection of the translocation, emphasis should be placed on improving the accuracy and reproducibility of polymerase chain reaction techniques, and standardizing assays among laboratories.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 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 | 0.003 |
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".