G372 Cross Domain Architecture
Description
This data outlines Breakthrough Science ignored by mainstream science. A collection of Coherence Formula. A Framework that reaches beyond current known scientific boundaries. Frequency Coherence.
Files
Steps to reproduce
Categories for this data Since there's no perfect single category, enter these as comma-separated tags: Mathematics, Statistics, Computer Science, Medicine, Psychology Steps to reproduce This is where you paste the core replication logic. A concise version would be: 1. Download Framingham.csv and german_credit.csv from the linked sources. 2. Execute the mapping script (map_variables.py) to assign columns to the Neutralization form variables: CNS, T, C, S1...S6. 3. Calculate N = β·CNS·T·(1−C)² / (1+ΣαₖSₖ) for each case, using β=2.9, α=3.0. 4. Compute ROC-AUC against the binary outcome column. 5. Compare against a logistic regression baseline fit to each dataset. The script and constants are provided in the /code directory. https://ssrn.com/author=8614622 G372 working papers, including the Neutralization Law (SSRN 5780303) and the G372-Ω Master Reference v13.8.