A 16-year-old boy with lower extremity muscle wasting and pain
Bibliographic record
Abstract
Journal Article A 16-year-old boy with lower extremity muscle wasting and pain Get access Mona Hnaini, MD, Mona Hnaini, MD Department of Paediatrics, Western University, London, Ontario, Canada Search for other works by this author on: Oxford Academic Google Scholar Leandro Cardarelli Leite, MD, Leandro Cardarelli Leite, MD Department of Medical Imaging, Western University, London, Ontario, Canada Search for other works by this author on: Oxford Academic Google Scholar Tim Carey, MD FRCSC, Tim Carey, MD FRCSC Department of Surgery, Western University, London, Ontario, Canada Search for other works by this author on: Oxford Academic Google Scholar Craig Campbell, MD MSc FRCPC Craig Campbell, MD MSc FRCPC Department of Paediatrics, Clinical Neurological Sciences and Epidemiology, Western University, London, Ontario, Canada Correspondence: Craig Campbell, Department of Paediatrics, Clinical Neurological Sciences and Epidemiology, Western University, 800 Commissioners Road East, London, Ontario N6A5W9, Canada. Telephone 5196858500 ext.: 57455, fax 5196858350, E-mail craig.campbell@lhsc.on.ca Search for other works by this author on: Oxford Academic Google Scholar Paediatrics & Child Health, Volume 28, Issue 2, May 2023, Pages 69–71, https://doi.org/10.1093/pch/pxac097 Published: 06 January 2023 Article history Received: 12 December 2021 Accepted: 19 August 2022 Published: 06 January 2023
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 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".