666 PUBLICATIONS\t\t\t18,326\tCITATIONS SEE PROFILE
Bibliographic record
Abstract
important, particularly the protocol for informing the family in such events. However, the emergency room is not the only area in a hospital in which sudden unexpected death may occur. Unfortunately, the operating room is one example, although such events occur less frequently there. Since 1985 the Foothills Prov-incial General Hospital, Calgary, has had a protocol for dealing with cata-strophic events in the operating room. This protocol includes dealing with the incident, discussing it with the patient or family and the operat-ing team, investigating the event, and formulating, implementing and monitoring recommendations to pre-vent further episodes.'` In collaboration with the Amer-ican Society of Anesthesiologists and the American Patient Safety Foundation the hospital's Depart-ment of Anaesthesia recently pro-duced a video simulation of dealing with a catastrophic event in the oper-ating room. This video is available to hospitals, at no charge, from the
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.946 | 0.906 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".