10th Asian & Oceanian Congress of Child Neurology: Expanding the Field of Child Neurology from the Region to the World
Bibliographic record
Abstract
The conference was organized by the Korean Child Neurology Society and included 102 lectures, presented by well-known experts in the field from 28 countries, and also platform and poster sessions.There were many interesting sessions covering a variety of topics in the field child neurology, as well as instructive teaching seminars.On the first day of the congress, 'Ketogenic Diet in Asian Countries' was introduced.The 'General Consensus' (J Helen Cross, UCL-Institute of Child Health, UK) and 'Future Direction' (Jong M Rho, St Joseph's Hospital, USA) were discussed, as well as 'How to Provide Ketogenic Diet in Asian Food Culture', which has useful practical applications.Moreover, various experiences in Asian countries including Korea, Iran, Taiwan and India were also presented.The presidential symposium on 'Genetic Implications in Childhood Neurological Disorders' took place on the second day; Ingrid Scheffer (University of Melbourne, Australia) presented 'Genetics of Epilepsy in Childhood: an Overview', focusing on the ion channel mutation.In the lecture on 'Mitochondrial Disorders: Diagnostic Challenge', David Thorburn (Mitochondrial & Metabolic Research, Australia) underlined that enzyme diagnosis using next-generation sequencing can be the starting point for investigation of the underlying molecular etiology.Ingrid Tein (University of Toronto, Ca nada) discussed the 'Approach to Neurometabolic Diseases in Children', which showed strategies according to symptoms and practical operational investigations.On the
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".