What is CBGT?
CBGT is a pypi that CBGT contains code for implementing the CBGT network and drift-diffusion model (DDM) fits described in the manuscript Reward-driven changes in striatal pathway competition shape evidence evaluation in. It has a Nerq Trust Score of 50/100 (D). 0 GitHub stars. Published by Kyle Dunovan, Catalina Vich, Matthew Clapp, Timothy Verstynen, Jonathan Rubin, Wei Wei, and Xiao Jing Wang. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What CBGT Does
CBGT is a pypi in the pypi category. CBGT contains code for implementing the CBGT network and drift-diffusion model (DDM) fits described in the manuscript Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making.. It is published by Kyle Dunovan, Catalina Vich, Matthew Clapp, Timothy Verstynen, Jonathan Rubin, Wei Wei, and Xiao Jing Wang and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use CBGT
CBGT is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Kyle Dunovan, Catalina Vich, Matthew Clapp, Timothy Verstynen, Jonathan Rubin, Wei Wei, and Xiao Jing Wang |
|---|---|
| Category | pypi |
| License | Not specified |
| Type | pypi |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=cbgt
Setup guide · Full safety report · Production review · Is it safe?
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.