Evaluation of Sleep M Biocrystal Pilow/Topper/Mattress in Clinical Trials using 20 Subjects to Test for Pain Reduction, Sleep Improvement, Stress Reduction and Improvement in Circulation for Clients with Diabetes over 3 Months
Bibliographic record
Abstract
Biofeedback testing (4 hours fasting) using Quantum Biofeedback Analyzer has been done before and after 3 months of use of the Sleep M Biocrystals to test for improvement using the Sleep M Sleep M Biocrystals Pillow/Topper/Mattress from Sleep M in Markham, ON. Canada. These tests were complimentary for participants.This Biofeedback Testing method has been correlated with CBC Blood tests in previously published research papers by Prof. Dr. George Grant, Ph.D. Participants who were not using any medications given preference to avoid data accuracy. However if necessary, we selected participants who use up to 5 medications (including OTC and Rx)
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Trial of a consumer sleep product; the object is the product's health effects.
It reports a small clinical intervention study of a sleep product.
Consumer sleep-product biofeedback trial is domain product evaluation, not research methods.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".