Should pipeline nitrous oxide be discontinued in secondary care: A cost-benefit analysis
Bibliographic record
Abstract
Background: Nitrous oxide (N 2 O) has seen a marked decline in its usage in recent years due to its adverse clinical effects. We audited the practice in our department to evaluate the N 2 O consumption and cost-effectiveness of its supply. Methodology: Electronic anesthesia records of all patients anesthetized in our main operating rooms in a typical month were reviewed retrospectively, and utilization of N 2 O was noted in addition to the patient demographics, surgical procedure, and specialty. Results: A total of 950 patients were anesthetized, and 3.1% received N 2 O. The annual usage was estimated to be 72,871 liters, with a leakage of 3,883,105 liters to the environment, posing a safety hazard and wasting 149,612.50 SAR. Conclusion: Notable costs and environmental benefits may be achieved by substituting a piped supply of N 2 O with portable E-cylinders on demand in operating rooms for rational use.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".