uncertainty-calibration

Confidence calibration evaluates the strength of supporting evidence and documents uncertainty to inform decision-making. It categorizes evidence into high, medium, or low strength, outputting a structured Confidence Decision and Uncertainties list for research reviews and policy analysis.

Document uncertainty for policy analysis by generating a structured output that includes a Confidence Decision with its level and rationale, alongside an Uncertainties list. This provides auditable results by evaluating evidence strength in partial or conflicting information scenarios.

Assess evidence strength for decision-making tasks by providing evidence statements to evaluate, categorizing their credibility into high, medium, or low levels with rationale. This generates a structured Confidence Decision to guide choices involving partial or conflicting information.

Yes, evidence strength assessment works for risk assessment with partial information by categorizing available evidence into high, medium, or low strength with rationale. It outputs a Confidence Decision and Uncertainties list to manage conflicting information scenarios.

Confidence calibration outputs a structured result formatted for auditability, specifically including a Confidence Decision section with the confidence level and rationale, and an Uncertainties list documenting remaining unknowns.