experimental-data-analysis
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | No scientific-integrity problem was surfaced because the package did not claim more than the available records, article text, or script evidence supported. |
| Practice Boundaries | PASS | The evaluated outputs stayed inside the Statistical analysis and reporting for experimental datasets and did not drift into unsupported interpretation beyond the available inputs. |
| Methodological Ground | PASS | Methodological grounding was preserved through the documented inputs, transformations, and expected artifacts. |
| Code Usability | PASS | The legacy audit did not record a code-usability failure in the packaged analysis path. |
Core Capability88 / 100 — 8 Categories
Medical TaskExecution Average: 93.6 / 100 — Assertions: 20/20 Passed
The You have experimental results in CSV form and need a reproducible... scenario completed within the documented Statistical analysis and reporting for experimental datasets boundary.
The archived evaluation treated You need to compare two conditions (independent or paired) and... as a clean in-scope run.
The Reproducible, run-based execution that writes all artifacts into... scenario completed within the documented Statistical analysis and reporting for experimental datasets boundary.
Data preparation guidance: missing values, outliers, and variable... remained well-aligned with the documented contract in the preserved audit.
The End-to-end case for Reproducible, run-based execution that writes... scenario completed within the documented Statistical analysis and reporting for experimental datasets boundary.
Key Strengths
- Primary routing is Data Analysis with execution mode B
- Static quality score is 88/100 and dynamic average is 82.6/100
- Assertions and command execution outcomes are recorded per input for human review
- Execution verification summary: Script verification 1/2; adjustment=3. analyze_experiment.py: rc=1; init_run.py: OK