Abandoning scientific colonization in pediatric global surgery: breaking barriers in knowledge dissemination to close gaps in surgical care
Bibliographic record
Abstract
Pediatric trauma is a leading cause of death in children and a significant global health concern, with 95% of all childhood injury deaths occurring in low- and middle-income countries (LMICs).1 Approximately 10–15% of pediatric trauma patients suffer blunt abdominal injuries, with the spleen being commonly injured.2 Over the last three decades, based on a series of high-income country (HIC) generated research publications and disseminated English language care guidelines, the management of blunt splenic injury in children in HICs has changed dramatically, from frequent splenectomy to successful non-operative management in more than 90% of patients.2 In Brazil, an LMIC, where only four publications touched on this area in the past 40 years, the splenectomy rate following blunt splenic injury has remained well over 50%, reaching 70% in some regions,2 3 and appropriate Brazilian clinical care guidelines for this condition are lacking.
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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 | 0.359 | 0.481 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.025 | 0.031 |
| Open science | 0.006 | 0.032 |
| Research integrity | 0.010 | 0.027 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".