Bibliographic record
Abstract
The tremendous progress made in chronic myeloid leukemia (CML) treatment affords patients more options than ever. Five currently available BCR-ABL inhibitors form the mainstay of CML treatment, including first-generation imatinib and more potent second-generation BCR-ABL inhibitors dasatinib and nilotinib, with bosutinib and ponatinib having been recently approved for market inclusion. Studies show that dasatinib and nilotinib exhibit greater efficacy than imatinib in first-line chronic-phase CML (CML-CP), allowing more patients to achieve deeper, more rapid responses associated with improved outcomes. With alternatives to imatinib for first-line CML-CP and the wealth of information (and misinformation) on the Internet, a tremendous need exists for clear, accurate facts to assist patients in making treatment decisions. Patients appreciate the guidance of their oncology nurse in providing disease, treatment, and monitoring information tailored to meet their needs. Oncology nurses who are able to clearly explain emerging data, including the meaning and significance of faster, deeper responses, will be a valuable resource to their patients.
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.
How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".