A Global Strategy for Building Clinical Capacity and Advancing Research in the Context of Malnutrition and Cancer in Children within Low- and Middle-Income Countries
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
Cancer is one of the prominent noncommunicable diseases and is responsible for more than 8 million deaths each year worldwide. It is expected to impact up to 22 million people annually by 2030, and more than 60% of new patient cases will be in Asia, Africa, and Central and South America. Despite improvements in the delivery of care to children in low- and middle-income countries, survival of those with cancer is as low as 10%; a figure that is in stark contrast to overall childhood cancer survival rates in North America and Western Europe. Although many factors are contributing to this disparity, access to well-educated health-care workers, knowledgeable in both antineoplastic and supportive care, particularly nutritional assessment and therapy, is necessary for effective treatment and reduced morbidities of children with cancer. To this end, we identify approaches for advancing nutritional care such as building nutritional capacity and education as well as advancing rigorous nutritional science through the establishment of multicountry research groups among pediatric oncology units located in low- and middle-income countries.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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