Symbol epsilon_max
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Whether automated LLM-judge evaluation becomes trusted for high-stakes decisions is not a third axis; it is mostly a readout of Axis A applied to one specific evaluator. A useful way to see the dependency is to write the automation decision as a threshold rule. Let be the estimated error rate of a judge on a decision class a , and let be the maximum error a policy is willing to tolerate for that stakes class. A defensible automation rule is
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Symbol a
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Equation 3 · Model Evaluation
Agent Evaluation in 2035: Two Axes, Four Scenarios, and What Would Falsify Them
This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.
Whether automated LLM-judge evaluation becomes trusted for high-stakes decisions is not a third axis; it is mostly a readout of Axis A applied to one specific evaluator. A useful way to see the dependency is to write the automation decision as a threshold rule. Let be the estimated error rate of a judge on a decision class a , and let be the maximum error a policy is willing to tolerate for that stakes class. A defensible automation rule is
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