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In contrast, as (p_{text {neg}}) increases, (text {OAS}_{text {tg}}) immediately declines steeply.
At the lowest thresholds, as link-prediction error increases, (text {OAS}_{text {tg}}) does decline to match the random-seeding baseline.
Then, at threshold 0.8, the shape of the (text {OAS}_{text {tg}}) curve changes: as (p_{text {neg}}) increases, (text {OAS}_{text {tg}}) immediately begins to decline.
As the infection threshold increases, (text {OAS}_{text {tg}}) performance appears to stabilize reliably above the performance level of random seeding, even for the highest rates of link-prediction error.
Namely, as (p_{text {neg}}) increases, (text {OAS}_{text {tg}}) goes through an immediate period of steep decline where (text {OAS}_{text {mg}}) appeared robust but then (text {OAS}_{text {tg}}) appears to stabilize far above the performance of random seeding despite very-high link-prediction error.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com