A cardioplegia circuit with versatility: the ‘ReVerse’ system. How to do it
Bibliographic record
Abstract
Various methods of cardioplegia administration have been used in cardiac surgery: crystalloid, blood and mixed crystalloid/blood. Each of these types of cardioplegia administration typically needs a different circuit. This may correspond to an increase in cost and the time needed to change the circuit if required. When various modifications are performed on the circuit, this also increases the risk of contamination. In order to simplify the management of differing cardioplegia circuits, we devised one circuit for all solutions in all situations by adding one modification. The ReVerse cardioplegia circuit system is a description of a two-pump cardioplegia circuit which is adaptable to either blood or crystalloid cardioplegia. The change from one mode to another requires a manoeuvre of two clamps, allowing the blood solution to travel through shunt tubing into the apposite pumphead. In our experience the versatility of this circuit is a fast, safe method to administrate all types of cardioplegia solution, saving the space taken up by storing multiple circuits.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".