A New Degraded Auditory Stimulus Test to Measure Implicit Memory during Anaesthesia in Children
Bibliographic record
Abstract
It remains unclear whether children form implicit memories during general anaesthesia. This is partly due to a lack of tests for implicit memory that are appropriate for the anaesthesia setting. The aim of this study was to assess a new implicit memory test that could be more suitable for use with children during anaesthesia. Ninety-three children aged five to 12 years who were undergoing elective surgery were studied. Patients were randomly assigned to one of two groups preoperatively and exposed to a familiar animal sound, followed by a distractor task. Two animal sounds were tested; in one group children were exposed to one animal sound preoperatively, while in the other group they were exposed to the other. After surgery the children were played degraded versions of the animal sounds that had been mixed with white noise and became increasingly clearer over the 60 second recording. Children who explicitly recalled hearing the sound preoperatively were excluded. Response times for recognition were recorded and compared. The analysis revealed evidence for a significant priming effect for one of the two animal sounds tested. The speed and simplicity of administration of this test suggest the degraded auditory stimulus test would be a promising tool to detect implicit memory during anaesthesia in children. However as we found evidence for priming with only one of the sounds, the choice of sound is important.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".