Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The objective of the study was to describe the origins, growth, and progress of a national research network in pediatric emergency medicine. METHODS: The success of Pediatric Emergency Research Canada (PERC) is described in terms of advancing the pediatric emergency medicine agenda, grant funding, peer-reviewed publications, mentoring new investigators, and global collaborations. RESULTS: Since 1995, clinicians and investigators within PERC have grown the network to 15 active tertiary pediatric emergency medicine sites across Canada. Investigators have advanced the research agenda in numerous areas, including gastroenteritis, bronchiolitis, croup, head injury, asthma, and injury management. Since the first PERC Annual Scientific meeting in 2004, the attendance has increased by approximately 400% to 152 attendees, 65 presentations, and 13 project/investigator meetings. More than $33 million in grant funding has been awarded to the network, and has published 76 peer-reviewed articles. In 2011, PERC's success was recognized with a Top Achievement Award in Health Research from Canadian Institutes of Health Research and the Canadian Medical Association Journal. CONCLUSIONS: Moving forward, PERC will continue to focus on the creation of new knowledge, the mentorship of new investigators and fellows in developing research projects, and promoting a pediatric emergency medicine-focused research agenda guided by the pooling of expertise from individuals across the nation. Through collaborations with networks across the globe, PERC will continue to strive for the conduct of high-quality, impactful research that improves outcomes in children with acute illness and injury.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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