Bibliographic record
Abstract
We appreciate Dr. Shah and his colleagues at the University of Oklahoma Health Sciences Centre for publishing their case report 1 with our CADD® -Solis ambulatory epidural pump. Dr. Shah's report is a valuable reminder that, despite advances in healthcare technology, clinicians play a critical role in ensuring the proper operation and function of infusion pumps, monitoring patient feedback regarding infusion therapy, as well as monitoring the complete infusion therapy system, including the catheter, the medication bag and bag spike, the pump tubing and the infusion pump. Dr. Shah and colleagues’ return of the CADD -Solis pump to the Smiths Medical Service and Repair department enabled our technicians to perform an evaluation of the device as per our standard operating procedures, and to attempt to replicate any reported concerns. However, without being able to also test the disposable accessories and other components of the entire infusion system used in the specific clinical event, we were unable to duplicate the reported under-delivery. Our technicians did identify a slight over-delivery. We trimmed the pump expulsor and replaced sensors as part of our normal preventive maintenance procedure.
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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.024 | 0.017 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".