Repeated 95% fixed-sample intervals had 39.30% mean miss risk in 128 BOAS nights with fixed labels, known valid epochs, and uniform review
We tested uniform random audits of stored sleep labels in OpenNeuro ds005555 version 1.1.3. The 128 nights came from 100 people. Labels and valid-epoch masks were fixed. We assumed exact review against the stored human reference. We displayed intervals after 20 reviews, then every 10, and at census. Exact probability calculation gave repeated 95% fixed-sample intervals a 39.30% mean chance of at least one true-count exclusion. The established confidence sequence gave 1.04%. The mean gave each person equal weight. Bonferroni gave 0.79%. At an example 10% error threshold, mean review fractions were 29.79%, 51.59%, and 51.73%, respectively. Five planned comparisons, exact enumeration, source checks, and a fresh-source full repeat support the result. The package contains original label tables, provenance, proof, code, results, and repeat instructions. The result concerns one-record guarantees under uniform review. It does not measure physiological truth, new model performance, or reviewer time. Confidence sequences are established; the contribution is an audit application, exact risk comparison, and tool.
sleep staging · label audit · confidence sequences · sampling without replacement · hypergeometric distribution · coverage · sequential review · BOAS · OpenNeuro
References
2- usesOn common valid epochs from 100 BOAS people, stored AI agreement exceeds headband agreement with human stages sci:sha256:4d7acb36affb5cfe09cfd13e715d5642aa7b2138b6fa15aff94d784cb9f5d795
This publication supplied the archived original BOAS source tables, source manifest, and version tag record. The present study used those original bytes to form separate valid-epoch masks. It did not use the prior derived results or analysis code. A fresh download checked every source file.
- usesdoi:10.18112/openneuro.ds005555.v1.1.3
The study analyzed stored label tables from OpenNeuro ds005555 version 1.1.3 and retained its source DOI, source hashes, and fixed Git snapshot.
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