Bibliographic record
Abstract
In a recent ‘State of the Art’ article on advances in anaesthesia (Hirsch. Anaesthesia 2003; 58: 1162–5), it is claimed that the use of nitrous oxide in neuro-anaesthetic practice is waning. In an even more recent article (Rowney et al. Anaesthesia 2004; 59: 10–4), three anaesthetists now based in Hospitals for Sick Children in Edinburgh, Glasgow and Toronto studied the effects of nitrous oxide on cerebral blood flow velocity (CBFV) in children anaesthetised with sevoflurane. The results showed that CBFV decreased when nitrous oxide was replaced by air and resumed its initial value when nitrous oxide was reintroduced. They suggested that these potentially deleterious effects of nitrous oxide could have significant bearing on the continued use of nitrous oxide with sevoflurane in paediatric anaesthesia especially in patients with intracranial space-occupying lesions. Forty years ago, McDowall, Harper and Jacobson [1] showed that halothane vapourised in air decreased cerebral blood flow (CBF) in canine brain, but subsequently it was demonstrated by McDowall and Harper [2] that halothane vapourised in nitrous oxide increased CBF above control; when air was administered in place of nitrous oxide CBF decreased below the control level. In an Editorial [3], I referred to the excitatory actions of ketamine and nitrous oxide on brain tissue and Winters [4] classified this as cataleptoid central nervous system stimulation. In the 1970s I abandoned the use of nitrous oxide to vapourise volatile agents in neuroanaesthesia in favour of oxygen enriched air and continued with this regime until I retired in the 1990s.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 teacher head, 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".