0317 Normal Values and Repeatability of a Novel Sleep Depth Scale; The Odds Ratio Product
Bibliographic record
Abstract
The Odds Ratio Product (ORP) has recently been described as a method of objectively measuring sleep depth using the relationships of the powers of different EEG frequencies in a single understandable index. The scale ranges from 0 - 2.5 with values of zero only occurring during sleep and a value of 2.5 only occurring during wakefulness. A value of 1.25 predicts an equal probability of being awake or asleep. The current investigation is undertaken to obtain normal values of non-REM ORP in good sleepers in their home environments and to establish the repeatability of this measure from night to night. Good sleepers (GS) were recruited and defined as non-shift workers sleeping 7–9 hours per night who considered their sleep of good quality and didn’t have daytime symptoms attributed to their sleep. Acceptable participants couldn’t be habitual nappers, have chronic health or sleep diagnoses, use psychotropic or recreational drugs, or have reached the menopause. ESS, ISI and FOSQ 10 had to be in the normal range. OSA was excluded based on an HSAT measuring EEG (Prodigy). A second EEG study was performed one week later. Thirty-three people completed the study (9 (20–35) females, 8 (20–35) males, 8 (35–50) males and 8 (35–50) females. The mean ORP for non-REM sleep during both nights of the study was 0.54 ± 0.17 (66 nights). Excluding three outlier nights, results in a tighter distribution of 0.51 ± 0.13. Distribution fitting suggests a normal distribution (Kolmogorov-Smirnov test, p=0.254). No difference was noted in non-REM ORP between first and second nights (0.55 ± 0.17 vs 0.53 ± 0.16). The study was powered to find a difference of 0.08 units between first and second nights with an α error (0.05) and β error (0.2). GS normal values for non-REM ORP is ≤0.76 units. Repeatability of ORP suggests no systematic second night effect. There is considerable variability in non-REM ORP between nights. Financial and in-kind support was provided by Cerebra Health Inc.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".