Canadian Pediatric Endocrine Group extension to WHO growth charts: Why bother?
Bibliographic record
Abstract
The Canadian Pediatric Endocrinology Group (CPEG) has produced complementary growth curves based on the 2010 âWHO Growth Charts for Canadaâ. In response to concerns from CPEG members and the general paediatric community regarding the presentation of the WHO data, complementary curves were generated, which the authors believe will enhance clarity, reduce potential errors in classification and enable users to better track short-term changes, particularly for weight in older children. Specifically, these curves extend weight-for-age beyond 10 years of age, restore additional percentiles within the normal range, remove extreme percentiles and harmonize the choice of body mass index percentiles with adult definitions of overweight and obesity. All modifications followed strict WHO methodology and used core data from the United States National Center for Health Statistics. The curves retain the clean appearance of the 2010 Canadian curves and are available from the CPEG website (http://cpeg-gcep.net).
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".