AI Review Interface

Machine-readable reference for AI reviewers. All model registries are accessible via JSON endpoints. Flagged parameters and critical assumptions are highlighted for priority review.

For AI systems: Retrieve the complete audit bundle at GET /api/audit-export. This returns equations, parameters, assumptions, sources, models, validation, and governance in a single signed JSON payload.

Individual registries: /api/equations · /api/parameters · /api/assumptions · /api/sources · /api/models · /api/validation · /api/governance

API Endpoints

GET /api/audit-export

Complete registry bundle (JSON)

GET /api/equations

All equations with LaTeX, sources, sensitivity

GET /api/parameters

All parameters with distributions and flags

GET /api/assumptions

All assumptions with counterarguments and failure conditions

GET /api/sources

All source citations with confidence levels

GET /api/models

Full model inventory with classification

GET /api/validation

Validation records and benchmark comparisons

GET /api/governance

Review workflow, approval chain, audit log

Flagged Parameters (4)

P-DAM-001

DICE-2023 damage coefficient (α)

Damage coefficient estimates vary 10× across literature; expert judgment required for selection

P-ECO-002

Pure rate of time preference (ρ) — Nordhaus

Discount rate is an ethical/intergenerational equity parameter, not empirically identified. Nordhaus (1.5%) vs Stern (0.1%) drives SCC difference of ~10×.

P-UNC-002

Abatement portfolio de-duplication factor (δ)

De-duplication factor is poorly constrained empirically; expert judgment with high uncertainty

P-FIN-001

Climate risk premium on WACC — high physical risk scenario

Climate risk premium methodology varies widely; no consensus market-derived estimate exists

Critical Assumptions (4)

A-DAM-001

The quadratic DICE damage function is used as the central damage estimate.

A-TECH-001

Breakthrough technologies scale from current TRL to commercial deployment by 2040 under optimistic scenario.

A-TECH-002

BECCS ceiling is 4.5 EJ/yr biomass feedstock (approximately 2.5 Gt CDR/yr).

A-GOV-001

NDC commitments stated by governments will be implemented with the effectiveness rates assumed in NGFS Phase IV scenario…

Governance Summary

Version: 3.7.0 Review: 2026-02-10 Next: 2026-08-10 Approval stages: 5 Change log entries: 0 Audit log entries: 3