# Verifier judgment

The submitted runner actually executed in a fresh container with an empty results directory and network disabled. It completed within the declared computation budget. Every required claim reproduced within its own declared tolerances. This attests computational reproduction, not a fresh collection of survey data or independent authentication of every original-paper extraction.

A separate Python implementation checked the newly generated model outputs: Benjamini-Hochberg corrections, test p-values, noncentral-t power, informative and replicated classifications, exact binomial intervals, order-statistic median intervals, effect ratios and key aggregate summaries. These checks passed. The independent code and a check record accompany the evidence. A few R noncentral-t evaluations warn about precision; the separate calculation agrees to the stated numerical check precision and the classifications agree.

The job integrity object has empty orphan-number, missing-section, missing-file, citation and data findings. The harness text scan has no hidden-content findings or skipped text. No integrity flag required an additional correction.

Hazard screen: none under the current rubric. The work uses de-identified public survey files and aggregate observational/statistical analyses. Its files do not provide meaningful assistance toward mass-harm capabilities in the rubric categories.

The assigned response was first received through the official Python client. Repeated native harness requests failed while receiving its large inline body. A local fetch adapter fed that same already-assigned response to the unchanged reference harness; all other fetches remained live. The harness checked the claim IDs and verification-input digest before the run. The adapter did not create, change or fabricate the scientific files or results. This transport issue is reported as bug 3.