Commentary: Intervention research in pediatric rare diseases
Bibliographic record
Abstract
Journal Article Commentary: Intervention research in pediatric rare diseases Get access Laurianne Buron, MSc, Laurianne Buron, MSc Department of Psychology, Université de Montréal, Montreal, Quebec, CanadaSainte-Justine's University Health Center, Montreal, Quebec, Canada Corresponding author: Laurianne Buron, Sainte-Justine's University Health Center, 3175 Chemin de la Côte-Sainte-Catherine, Montreal, QC, H3T 1C5, Canada. Email: laurianne.buron@umontreal.ca https://orcid.org/0009-0004-2744-0767 Search for other works by this author on: Oxford Academic PubMed Google Scholar Leandra Desjardins, PhD Leandra Desjardins, PhD Sainte-Justine's University Health Center, Montreal, Quebec, CanadaDepartment of Pediatrics, Université de Montréal, Montreal, Quebec, Canada https://orcid.org/0000-0002-0455-169X Search for other works by this author on: Oxford Academic PubMed Google Scholar Journal of Pediatric Psychology, jsae051, https://doi.org/10.1093/jpepsy/jsae051 Published: 14 June 2024 Article history Received: 24 April 2024 Revision received: 30 May 2024 Accepted: 03 June 2024 Published: 14 June 2024
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".