Bibliographic record
Abstract
A 73-year-old patient named Mr. G was diagnosed with Rai stage 0 chronic lymphocytic leukemia (CLL) in 2007. The diagnosis was made incidentally by a routine complete blood count that reported lymphocytosis, and the diagnosis was confirmed by flow cytometry. His family history for cancer only included a sister previously diagnosed with melanoma. Because of his early stage, he was followed in clinic and remained asymptomatic for three years. He then presented with supraclavicular and bilateral axillary lymphadenopathy measuring 4-6 cm, a rising white blood cell count of 43,620 u/L, and hemoglobin and platelet count slightly less than normal (12 g/dl and 136,000 u/L, respectively). Mr. G was started on chlorambucil and, after two months of treatment, was held because of a generalized papular erythematous rash covering 40% of his back, chest, and arms. He was referred to dermatology for assessment, and biopsy confirmed the rash as leukemic infiltration of the skin. A second biopsy performed on a 2 cm lesion found incidentally behind his right ear was positive for basal cell carcinoma (BCC).
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 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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".