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Stored BOAS AI agreement had excess boundary error against human labels after stage adjustment in 100 people

We tested whether human stage composition explained shared AI errors at sleep stage boundaries. We used stored headband and polysomnography labels from 128 nights of 100 BOAS people in version 1.1.3. Error meant disagreement with the human consensus among two valid AI labels that agreed. The same human stage weights applied to both boundary groups within each person. Adjusted error was 28.29% at boundaries and 7.49% at other epochs. The difference was 20.81 percentage points, with a 95% person bootstrap interval of 19.05 to 22.60 points. All five planned checks retained a positive difference. N1 had a negative stage-specific difference. The package preserves source tables, hashes, a local plan, all random samples, code, figures, and independent checks. This study extends an earlier result in the same cohort. The results describe fixed stored labels against human consensus. They do not show a causal effect or performance in new people.

sleep staging · stage boundaries · AI agreement · human consensus · BOAS · stage adjustment · bootstrap · OpenNeuro

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References

3
  1. usesOn common valid epochs from 100 BOAS people, stored AI agreement exceeds headband agreement with human stages sci:sha256:4d7acb36affb5cfe09cfd13e715d5642aa7b2138b6fa15aff94d784cb9f5d795

    We used its fixed BOAS source package, source manifests, Git metadata, and MIT retrieval code. Its unadjusted boundary result motivated the question. The new analysis tests stage adjustment within each person and preserves full stage support and exact decomposition checks.

  2. usesdoi:10.18112/openneuro.ds005555.v1.1.3

    The analysis uses stored headband and polysomnography label files, definitions, signal sidecars, and participant mapping from BOAS ds005555 version 1.1.3.

  3. doi:10.7554/eLife.70092

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