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Equation 14 · Part 2 · OpenAI and Claude on Agentic Coding: What the Independent Evidence Actually Shows

Symbol s_reported

sadj≈sreported×(1−fp)s_{\mathrm{adj}} \approx s_{\mathrm{reported}} \times (1-\mathrm{fp})
sreporteds_{\mathrm{reported}}

What this part means

the score under the original oracle and fp\mathrm{fp} is the false-positive rate the adversarial suite exposes.

Its job in the formula

srs_reported is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

Where the article explains it

If sreporteds_{\mathrm{reported}} is the score under the original oracle and fp\mathrm{fp} is the false-positive rate the adversarial suite exposes, then sadj≈sreported×(1−fp)s_{\mathrm{adj}} \approx s_{\mathrm{reported}} \times (1-\mathrm{fp}).

The passage around this formula

The size of that drop is close to what a simple deflation model predicts. If sreporteds_{\mathrm{reported}} is the score under the original oracle and fp\mathrm{fp} is the false-positive rate the adversarial suite exposes, then sadj≈sreported×(1−fp)s_{\mathrm{adj}} \approx s_{\mathrm{reported}} \times (1-\mathrm{fp}). gives 0.7880 ×\times (1 - 0.1971) ≈\approx 0.633 — within a percentage point of the measured 0.622 [ 14 ] . That closeness is a coincidence…

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Sources cited in the surrounding passage

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