Garantia científica
Methods for VVUQ, assurance on the Julia and Python and r and rust compute planes.
45 capabilities
16 of 45 have a bound kernel or engine. States are shown as the registry records them; a request fails closed wherever an adapter, specialist model or governed data is still missing.
| Método | Capability ID | Situação | É executado em |
|---|---|---|---|
| Unit Verification | risk.capability.scientific-assurance.unit.verification.v1 |
Reference implementation | – |
| Analytical Benchmark | risk.capability.scientific-assurance.analytical.benchmark.v1 |
Adapter required | Python · validation.error_metrics |
| Convergence Testing | risk.capability.scientific-assurance.convergence.testing.v1 |
Adapter required | Python · validation.convergence_order |
| Numerical Stability | risk.capability.scientific-assurance.numerical.stability.v1 |
Adapter required | Python · validation.invariants |
| Solver Tolerance | risk.capability.scientific-assurance.solver.tolerance.v1 |
Adapter required | – |
| Mesh Grid Convergence | risk.capability.scientific-assurance.mesh.grid.convergence.v1 |
Adapter required | – |
| Reproducibility | risk.capability.scientific-assurance.reproducibility.v1 |
Reference implementation | Python · validation.replay_compare |
| Cross Language Parity | risk.capability.scientific-assurance.cross.language.parity.v1 |
Adapter required | Python · validation.parity_compare |
| Deterministic Replay | risk.capability.scientific-assurance.deterministic.replay.v1 |
Reference implementation | – |
| Calibration | risk.capability.scientific-assurance.calibration.v1 |
Adapter required | Python · validation.reliability_diagram |
| Holdout Testing | risk.capability.scientific-assurance.holdout.testing.v1 |
Adapter required | Python · validation.error_metrics |
| Cross Validation | risk.capability.scientific-assurance.cross.validation.v1 |
Adapter required | Python · spatial_validation.blocked_metrics |
| Hindcasting | risk.capability.scientific-assurance.hindcasting.v1 |
Adapter required | – |
| Backtesting | risk.capability.scientific-assurance.backtesting.v1 |
Adapter required | Python · validation.error_metrics |
| Event Reconstruction | risk.capability.scientific-assurance.event.reconstruction.v1 |
Adapter required | – |
| Reliability Diagram | risk.capability.scientific-assurance.reliability.diagram.v1 |
Adapter required | Python · validation.reliability_diagram |
| Residual Diagnostics | risk.capability.scientific-assurance.residual.diagnostics.v1 |
Adapter required | – |
| Goodness of Fit | risk.capability.scientific-assurance.goodness.of.fit.v1 |
Adapter required | – |
| Predictive Scoring | risk.capability.scientific-assurance.predictive.scoring.v1 |
Reference implementation | Julia · frontier_risk_math.brier_score |
| External Benchmark | risk.capability.scientific-assurance.external.benchmark.v1 |
Adapter required | – |
| Independent Replication | risk.capability.scientific-assurance.independent.replication.v1 |
Adapter required | – |
| Aleatory Uncertainty | risk.capability.scientific-assurance.aleatory.uncertainty.v1 |
Adapter required | – |
| Epistemic Uncertainty | risk.capability.scientific-assurance.epistemic.uncertainty.v1 |
Adapter required | – |
| Parameter Uncertainty | risk.capability.scientific-assurance.parameter.uncertainty.v1 |
Adapter required | – |
| Model Form Uncertainty | risk.capability.scientific-assurance.model.form.uncertainty.v1 |
Adapter required | – |
| Data Uncertainty | risk.capability.scientific-assurance.data.uncertainty.v1 |
Adapter required | – |
| Scenario Uncertainty | risk.capability.scientific-assurance.scenario.uncertainty.v1 |
Adapter required | – |
| Structural Uncertainty | risk.capability.scientific-assurance.structural.uncertainty.v1 |
Adapter required | – |
| Measurement Uncertainty | risk.capability.scientific-assurance.measurement.uncertainty.v1 |
Adapter required | – |
| Spatial Uncertainty | risk.capability.scientific-assurance.spatial.uncertainty.v1 |
Adapter required | – |
| Temporal Uncertainty | risk.capability.scientific-assurance.temporal.uncertainty.v1 |
Adapter required | – |
| Applicability Domain | risk.capability.scientific-assurance.applicability.domain.v1 |
Connected | engine.grix.risk.validation.vvuq.applicability.v1 |
| Geographic Applicability | risk.capability.scientific-assurance.geographic.applicability.v1 |
Adapter required | – |
| Population Applicability | risk.capability.scientific-assurance.population.applicability.v1 |
Adapter required | – |
| Hazard Regime Applicability | risk.capability.scientific-assurance.hazard.regime.applicability.v1 |
Adapter required | – |
| Asset Class Applicability | risk.capability.scientific-assurance.asset.class.applicability.v1 |
Adapter required | – |
| Temporal Horizon Applicability | risk.capability.scientific-assurance.temporal.horizon.applicability.v1 |
Adapter required | – |
| Scenario Applicability | risk.capability.scientific-assurance.scenario.applicability.v1 |
Adapter required | – |
| Resolution Applicability | risk.capability.scientific-assurance.resolution.applicability.v1 |
Adapter required | – |
| Data Quality Applicability | risk.capability.scientific-assurance.data.quality.applicability.v1 |
Adapter required | – |
| Intended Use Applicability | risk.capability.scientific-assurance.intended.use.applicability.v1 |
Adapter required | – |
| Categorical Forecast Verification | risk.capability.scientific-assurance.categorical.forecast.verification.v1 |
Adapter required | Python · verification.contingency |
| Probabilistic Forecast Skill | risk.capability.scientific-assurance.probabilistic.forecast.skill.v1 |
Adapter required | Python · verification.brier_skill |
| ROC Analysis | risk.capability.scientific-assurance.roc.analysis.v1 |
Adapter required | Python · verification.roc |
| CRPS Verification | risk.capability.scientific-assurance.crps.verification.v1 |
Adapter required | Python · verification.crps |
Methods, data and supports
- Method families
- VVUQ, robust statistics, Bayesian inference, global sensitivity
- Domínios
- VVUQ, assurance
- Compute planes
- Julia, Python, r, rust
- Source classes
- benchmark, calibration, holdout, run-receipt, external-review
- Spatial supports
- model-domain
- Temporal supports
- model-version, evaluation-window
Propose a method
New methods are registered with a stable ID and a hand-derived golden test.
Situação
A metodologia, a estrutura e as definições do The Global Risks Index constituem um projeto de trabalho preparatório (2026), divulgado para revisão e comentários e não para implementação. Nenhum valor aparece até que uma edição seja publicada a partir de um corte de evidências governado; os valores passam então a ter intervalos, classes, fontes e o respectivo percurso de correção. Os simuladores executam os métodos publicados sobre números que você escolhe e nunca mostram um valor do NXS-GRX.
O que o NXS-GRX não é
O NXS-GRX é informação de pesquisa e de análise de risco. Não é rating de crédito ou ESG e não usa escala de rating, não é referência para instrumentos financeiros, não é estatística oficial, não é alerta de emergência nem classificação oficial e não é aconselhamento. Não deve ser usado para avaliar pessoas físicas. As classes de risco são faixas em uma escala publicada, nunca classificações de países ou pessoas.
Instituições e fontes
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
Cada valor inclui a atribuição das suas fontes, que mantêm as suas próprias licenças. Os nomes externos são citados apenas para fins de interoperabilidade. Os textos de autoria da Nexus destinam-se a ser publicados sob CC BY 4.0.
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.