Singapore Cancer Network (SCAN) Guidelines for Systemic Therapy of High-Grade Glioma
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: The SCAN Neuro-Oncology workgroup aimed to develop Singapore Cancer Network (SCAN) clinical practice guidelines for systemic therapy for high-grade glioma in Singapore. MATERIALS AND METHODS: The workgroup utilised a modified ADAPTE process to calibrate high quality international evidence-based clinical practice guidelines to our local setting. RESULTS: Six international guidelines were evaluated- those developed by the National Comprehensive Cancer Network (2013), the European Association for Neuro-Oncology (EANO) Task Force on Malignant Glioma (2014), the European Society of Medical Oncology (2014), the Canadian GBM Recommendations Committee (2007) and the Australian Cancer Network (2009). Recommendations on the systemic therapy of high-grade glioma were produced. CONCLUSION: These adapted guidelines form the SCAN Guidelines 2015 for systemic therapy of high-grade glioma.
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.
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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it