Bibliographic record
Abstract
Chronic myeloid leukemia (CML) is an uncommon leukemia but one that has been on the cutting edge of therapeutic and diagnostic discovery over the last three decades. With the identification of a cytogenetic abnormality half-century ago, then a gene rearrangement, and ultimately an abnormal tyrosine kinase [ 1 ], this disease has become the poster child for drug development in what is now called targeted therapy [ 2 ],—not just for CML, but also for other malignant disorders [ 3 ]. What was once a disease that was only curable with a allogeneic stem cell transplant, is now a “chronic” disease treatable and potentially curable with a targeted therapy pill and with survival no different from age-matched controls in almost all patients [ 4 ], if the disease is diagnosed in chronic phase. Only with her2 therapy in breast cancer, did any other disease have this option at that time. TKI toxicity and compliance issues have become more of a reality than disease progression to acute leukemia [ 5 ]. We continue to develop newer drugs that are of value in the resistant population, although their value in early care is controversial.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.008 | 0.018 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".