Accuracy of detecting changes in auditory heart rate in a simulated operating room environment*
Bibliographic record
Abstract
The threshold for the identification of changes in heart rate and the accuracy in estimating heart rate were compared between 20 anaesthetists and 20 non-anaesthetists in a simulated operating theatre, both with and without distraction tasks. Typical operating theatre distractions were simulated by requiring anaesthetists and non-anaesthetists to perform secondary tasks. There were no differences found between the groups in identification of heart rate changes. The distraction tasks reduced performance in both groups (to a greater extent in the anaesthetists group). A change of > 10 beats per minute was required for 80% of the changes to be detected. An upward heart rate change was more easily detected than a reduction. Anaesthetists were found to be marginally better at estimating the heart rate change from an auditory tone alone. However, the study did not confirm that anaesthetists have a superior ability to detect changes in heart rate than non-anaesthetists.
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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 | 0.002 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".