Computational Access Gap (CAG)
CAGGap Between Potential and Actual Computational Access to Entities
Proposed hypothesis — not yet testedpublished
CAG measures the gap between potential and actual computational access.
By Marco Patrone
cagaccess_gapcomputational_accesstransmission_metricremediation_opportunity
Definition
CAG measures the gap between what computational access is potentially possible for an entity and what is actually realized. Higher CAG indicates unrealized allocative potential.
CAG assesses unrealized allocative potential—the gap between what computational access is possible and what is actually achieved.
Conceptual Formula
CAG(e) = potential_access - actual_access, normalized by potential.Methodology
Type
index construction
Data Sources
synthetic
Confidence Level
low
Description
CAG(e) = potential_access - actual_access, normalized by potential.
Limitations
- Potential access is theoretical
- Actual access measurement is proxy
Key Takeaways
Key Points
- CAG scales 0-1
- Higher indicates unrealized potential
- Remediation opportunity indicator
Target Audience
firmsinfrastructure providers
Relevance Tags
cagaccess_gapcomputational_accesstransmission_metric
Source Paper
Citation
For the Computational Access Gap (CAG), see HomeSelf Research (2026), The Zero-Click Economy.