Current state of knowledge around nurse-led cardioversion: a launchpad for future projects
Bibliographic record
Abstract
Commentary on: Manoj S, Moore Z, Patton D, et al . The impact of a nurse-led elective direct current cardioversion in atrial fibrillation on patient outcomes: a systematic review. J Clin Nurs 2019;28:3374–85. doi: 10.1111/jocn.14852. Direct current cardioversion is an electrical cardiac treatment used to reset heart rhythms in some patients with atrial fibrillation.1 While direct current cardioversion had historically been medically led, increased demand for the treatment has led to the development of nurse-led services.2 Nurse and nurse practitioner led cardioversion clinics will be seen more often as our populations age. It is important to develop a body of research around efficacy and best practices related to nurse-led cardioversion clinics going …
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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 | 0.026 | 0.169 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.007 | 0.018 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.049 | 0.052 |
| Insufficient payload (model declined to judge) | 0.030 | 0.017 |
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".