Evaluation of a Systems Navigator Model for Transition From Pediatric to Adult Care for Young Adults With Type 1 Diabetes
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: To determine whether a systems navigator service, The Maestro Project, could increase medical surveillance for young adults with type 1 diabetes who transfer from pediatric to adult care. RESEARCH DESIGN AND METHODS: There were two cohorts of participants: 1) a younger group (aged 18 years, n = 82) who had the assistance of the navigator as they graduated from pediatric care and 2) an older group (aged 19-25 years) who were transferred to adult care without this initial support but later enrolled in the program. RESULTS: Of the older group (who did not have initial access to the navigator), 40% dropped out of adult medical care, compared with a dropout rate of 11% for the younger group, who had access to the navigator at the time of transfer from pediatric care. CONCLUSIONS: The systems navigator helped improve medical surveillance for both groups, although there was no evidence of improved short-term medical outcomes.
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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 | 0.000 | 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 | 0.001 | 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 it