ζ-eff Consciousness Corridor: four independent AI validations

# Do not use this version of deposit, it's a work in progress # ζ-eff Consciousness Corridor – Public Reference Implementation ## CitationIf you use these notebooks or the ζ-eff metric, please cite:> Bergantiños, D., et al. ζ-eff Consciousness Corridor: four independent AI validations. Zenodo. https://doi.org/10.5281/zenodo.XXXXXXX ## What this record containsFour **independent** Jupyter notebooks that compute the same **ζ-eff** axis from **public EEG data**: | Model | Location | p-value | Ordering ||-------|----------|---------|----------|| ChatGPT | US-East | 3.8 × 10⁻¹³ | Ketamine > Wake > N3 || Kimi-K2 | China | 1.4 × 10⁻³⁵ | idem || Gemini | US-West | 8.2 × 10⁻⁷ | idem || DeepSeek | China | 7.1 × 10⁻³ | idem | ## ζ-eff formulaζ-eff = (spectral_slope × phase_scatter) / autocorr_horizon ## Corridor values (30 s, 250 Hz, 1–45 Hz)- **Ketamine** (expanded): ≈ 5–17 - **Wake** (sovereign): ≈ 4–12 - **N3** (contracted): ≈ 3–8 Outside this envelope → reversible loss of consciousness. ## Licences- Code: MIT (do whatever you want, just cite)- Data: original datasets (Farnes et al., Sleep-EDF) are also open