Bibliographic record
Abstract
The S.T.A.B.L.E. Program is the first neonatal continuing education program to focus exclusively on the post-resuscitation/pre-transport stabilization care of sick infants. Neonatal Resuscitation Program provides the requisite education for healthcare providers to safely and systematically resuscitate neonates. However, those infants who require resuscitation also require ongoing care to decrease the risk of morbidity and mortality. The S.T.A.B.L.E. Program provides all members of the neonatal healthcare team with the knowledge needed to render necessary care to infants who are under post-resuscitation or pre-transport stabilization care. Utilizing an organized approach, the S.T.A.B.L.E. Program facilitates the care process by prompting healthcare providers to focus on specific areas of care. This article provides an overview of (1) the history of the S.T.A.B.L.E. Program, (2) the philosophy and goals of the program, (3) a course overview of individual modules, (4) acceptance and recognition of the program in the healthcare community, (5) the target audience, and (6) administration of the course.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.062 | 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".