Sarcoid-like reaction in a child following prolonged therapeutic exposure to dabrafenib and trametinib for BRAF V600E mutated hypothalamic/ chiasmatic glioma
Bibliographic record
Abstract
LETTER TO THE EDITORTITLE: Sarcoid-like reaction in a child following prolonged therapeutic exposure to dabrafenib and trametinib for BRAF V600E mutated hypothalamic/ chiasmatic gliomaAuthors : Mari Wilhelmsson MD, PhD1,2; Foo Jen Chun MD1; Rae S M Yeung MD, PhD3; Fiona Krtizinger MBChB, MMed4; Tata McKeown, MSc1; Ailish Coblentz, MD5; Birgit Ertl-Wagner, MD5; Uri Tabori MD, PhD1, Ute Bartels MD, PhD 1; Anirban Das MBBS, MD, DM 1AFFILIATIONS: 1. Division of Haematology Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada; 2. Department of Women´s and Children´s Health, Karolinska Institutet, Stockholm, Sweden. 3. Division of Rheumatology, The Hospital for Sick Children, Toronto, Ontario, Canada. 4. Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada. 5. Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada.WORD COUNT: 853FIGURES: 1RUNNING TITLE: Sarcoid-like reaction with BRAF/MEK-inhibitionKEYWORDS : MEK-inhibitor, BRAF inhibitor, sarcoidosis/sarcoid‑like reaction (S/SLR), Low-grade glioma, pediatric
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".