onod3000/AI-DECLARATION.md

version	level	processes
0.1.2	copilot	design implementation testing documentation review deployment pair copilot copilot copilot none none

This format is based on AI-DECLARATION.md.

Notes

• The Rust port of Paul Uszak's Java ent3000 tests was made with OpenAI's ChatGPT, which provided guidance, debugging help, and inspiration throughout the development process.
• The scoring was designed together with Anthropic's Claude (Claude Code) and implemented by it. This covers calibrated p-values, the combined score, the survival depth, the calibrator, and the score in the CLI, C and Python bindings. I set the purpose (a health score for a source), chose the method (combined p-value plus QNGmeter-style survival depth) and the calibration approach (empirical), and approved the plan and each step.
• src/calibration/table.rs is not written by hand or by AI. It is generated by examples/calibrate.rs from simulated random data.
• The calibration was checked against fresh random data, up to millions of samples per size (see the Accuracy section of the readme). The raw p-values of all tests still match the Java original on the three test files.
• No AI was used for code review or deployment.