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
Rearrangement of the proto-oncogene MYC leads to MYC protein deregulation and is an important driver of oncogenic transformation. MYC rearrangement is a recurring genetic abnormality in several aggressive B-cell lymphomas including: Burkitt lymphoma, diffuse large B-cell lymphoma; B-cell lymphoma, unclassifiable with features intermediate between diffuse large B-cell lymphoma and Burkitt lymphoma; rare de novo acute lymphoblastic lymphoma/leukemia, transformed follicular lymphoma, and plasmablastic lymphoma. Important distinctions in the role of MYC in these tumors likely reflect whether it is a primary or secondary genetic event. The presence of a MYC rearrangement in these diseases has diagnostic and prognostic implications and it is important for the practicing anatomic pathologist to be familiar with these issues when diagnosing aggressive B-cell lymphomas. This review provides a brief overview of MYC biology; shows the clinical and pathologic features of the aggressive B-cell lymphomas that harbor recurrent MYC rearrangements; explores the diagnostic and clinical implications of MYC rearrangements in these diseases; and outlines the techniques available to the anatomic pathologist to detect MYC deregulation.
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) | 0.002 | 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