At aggressive target budgets retaining one third to one half of native K, the best eligible dynamic rule improves the eleven-dataset mean on every core model, by 0.90–2.98 points, averaging 2.26 points.

At aggressive target budgets retaining one third to one half of native K, the best eligible dynamic rule improves the eleven-dataset mean on every core model, by 0.90–2.98 points, averaging 2.26 points. · CiteArk

Measurement results

0/5 assessed

0 supported0 disputed or conflicting5 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Metric and conditions	Reported	Latest observation	Evidence judgment
printedValue: 2.45	2.45 percentage points	—	Not assessed
printedValue: 2.71	2.71 percentage points	—	Not assessed
printedValue: 2.98	2.98 percentage points	—	Not assessed
printedValue: 0.90	0.9 percentage points	—	Not assessed
printedValue: 2.26	2.26 percentage points	—	Not assessed

At aggressive target budgets retaining one third to one half of native K, the best eligible dynamic rule improves the eleven-dataset mean on every core model, by 0.90–2.98 points, averaging 2.26 points.

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results