Bibliographic record
Abstract
Neurofibromatosis type 1 (NF1) is an inherited tumor predisposition syndrome with multiple manifestations in children and adults. Due to the multisystemic nature of this syndrome there are multidisciplinary NF1 clinics in many major centres in the United States; however, this is not yet the trend in Canada. Our study seeks to gain understanding of the current state of health surveillance in children with NF1 in Southwestern Ontario, which medical disciplines are involved in their care and parental interest in a future multidisciplinary clinic at London Health Sciences Centre (LHSC). Methods: 50 parents or guardians of pediatric NF1 patients completed a 39-question telephone interview pertaining to diagnosis, aspects of yearly screening and willingness to attend a multidisciplinary clinic. Responses were then compared to the current screening guidelines for the pediatric NF1 population as suggested by the American Academy of Pediatrics. Results: Only 56% of patients receive an annual neurological exam, while over 87% are having yearly blood pressure screens. 40% of patients cite their medical geneticist as the main coordinator of their care, while 12% cite no coordination of care. 48% of families travel more than 50 km to LHSC, with the majority visiting >3 times per year. 96% of participants are interested in participating in a multidisciplinary clinic. Conclusions: The results obtained from this study support the development of a multidisciplinary NF1 clinic at LHSC.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.040 | 0.012 |
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 source (direct Gemma or distilled Codex), 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".