Families, Clinicians, and Children and Youth with Special Healthcare Needs: A Bright Future
Bibliographic record
Abstract
Bright Futures Guidelines for the Health Supervision of Infants, Children, and Adolescents , third edition, is many things beyond a rich source of clinical guidance. For families like ours, Bright Futures , third edition, is a validation of our concerns and experiences as parents of sons and daughters with special healthcare needs. Like you, we are caregivers and experts on our children. Additionally, like most of you, most of us also have other children who do not have special healthcare needs. Families and professionals alike, we seek materials that guide us to make informed decisions on behalf of our children. We — and thousands of other families — will find Bright Futures invaluable. We will use it in its many iterations now and well into the future. ABOUT THE AUTHORS Polly Arango is Cofounder, Family Voices, Inc.; Betsy Anderson is Director, Family Voices IMPACT; Nora Wells is Director, Family Voices National Center for Family/Professional Partnerships. Address correspondence to: Family Voices National Office, 2340 Alamo SE, Ste 102, Albuquerque, NM 87106, or e-mail: kidshealth@familyvoices.org. Polly Arango, Betsy Anderson, and Nora Wells have disclosed no relevant financial relationships.
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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 | 0.020 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.011 | 0.024 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.018 | 0.018 |
| Insufficient payload (model declined to judge) | 0.047 | 0.013 |
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".