Clonal evolution: a landmark of MPN evolution
Bibliographic record
Abstract
Myeloproliferative Neoplasms comprise a heterogeneous group of diseases characterized over the past two decades by the acquisition of somatic mutations in hematopoietic stem cells, leading to a pre-leukemic state. The natural history of the disease is marked by the sequential acquisition of genetic events that play an essential role in the phenotype, evolution and response to treatment of the disease. Indeed, disease progression is as heterogeneous as the variety of genetic abnormalities found in individual patients, some of whom lead to disease evolution with a pejorative prognosis, while others persist in a benign manner. In order to better explore these questions, it is important to better understand: (1) the genetic structure of the tumor through dynamic reconstruction of clonal architecture (2) the factors favoring the development of certain clones and their expansion, some of which are governed by Darwinian laws. These parameters could help explain the heterogeneity between MPN patients with similar genetic profiles, and prevent the emergence of clones identified as aggressive by the use of innovative therapeutic strategies targeting new pathways to prevent early transformations in poor prognosis MPN subtypes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".