Answers are grounded in this paper and cite their sources.
Preregistration proposes a blind prediction protocol validating a substrate classifier in a defined set of substrates, indicating its predictive capacity.
This preregistration document establishes a blind prediction protocol to validate PHI_SCORE = H_norm × (1−AC1) as a substrate classifier for the PHILIA Phase Vector z-coordinate. Background: During v32 Substrate Exploration (2026.05.24), PHI_SCORE was discovered as a strong rank predictor of the PHILIA z-coordinate (Spearman ρ=0.886, n=6). Shannon entropy alone failed (ρ=0.086); the independence factor (1−AC1) is the critical component. Physical interpretation: PHI_SCORE measures the effective novelty exposure experienced by neurons. Design: n=29 substrates (6 existing z_ref frozen + 16 new real-world + 7 synthetic). PHI_SCORE values frozen at 2026-05-25T14:55:02 before v32 ablation execution. Thresholds frozen: THR_HIGH=0.35 / THR_LOW=0.20. Primary hypothesis (H-SC1-1): Spearman ρ ≥ 0.85 → Classifier promotion.Secondary hypothesis (H-SC1-2): log-return PHI_SCORE > level PHI_SCORE for all 7 financial assets.Tertiary hypothesis (H-SC1-3): AR(1) φ-sweep monotonicity confirmed. Power (n=29, ρ=0.85): >0.999. Effective n=23.2 (ICC=0.7 conservative correction). 5-AI adversarial review: 판도라 → 루카스 → 크리스 (Gate-0 v7, 9 rounds, UNCONDITIONAL ACCEPT) → 서생 → 선비 → GritMan_D.S final decision. Principle: Measurement is life. Description, not proof. — PHILIA OS | 0∞1∞0.5∞
No takes yet. Share an insight, caveat, or question.
신두섭 (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: