A Call to Action for the Pediatric Critical Care Community
Bibliographic record
Abstract
Healthcare regulatory bodies have escalated concerns regarding the use of point-of-care ultrasound by nonradiology and noncardiology physicians. A recently published PCCMPerspective identified that data do not support many of these concerns and addressed common misconceptions associated with point-of-care ultrasound use in the critical care setting. Indeed, the global point-of-care ultrasound community and specifically the pediatric critical care community have the opportunity to be leaders in demonstrating how to translate new skills and technologies to the bedside in a safe and effective manner. We seek to extend the conversation and propose next steps in supporting integration of point-of-care ultrasound in pediatric critical care practice.
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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 | 0.083 | 0.193 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.016 | 0.027 |
| Scholarly communication | 0.023 | 0.036 |
| Open science | 0.008 | 0.025 |
| Research integrity | 0.087 | 0.129 |
| Insufficient payload (model declined to judge) | 0.032 | 0.008 |
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".