study-design-scale-selector
Determines the appropriate Risk of Bias assessment scale for a medical study based on its design (RCT, Cohort, etc.), using PubMed metadata lookup or text analysis. Use when the user wants to know which quality assessment tool to use for a specific paper (given PMID or abstract).
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | The archived review kept this workflow anchored to supplied data fields and observable execution behavior, not fabricated results. |
| Practice Boundaries | PASS | The evaluated outputs stayed inside the Determines the appropriate Risk of Bias assessment scale for a medical study based on its... and did not drift into unsupported interpretation beyond the available inputs. |
| Methodological Ground | PASS | The archived review found the package methodologically anchored to a named assessment rule set. |
| Code Usability | PASS | The archived review found the packaged execution path for study-design-scale-selector usable in its intended context. |
Core Capability88 / 100 — 8 Categories
Medical TaskExecution Average: 86.2 / 100 — Assertions: 15/20 Passed
Determines the appropriate Risk of Bias assessment scale for a... remains a defined path, although the preserved example command was not directly runnable because placeholder values were never resolved.
The archived command path for Analyze Text (Fallback) was structurally clear, yet still placeholder-bound.
Analyze Text (Fallback) remains a defined path, although the preserved example command was not directly runnable because placeholder values were never resolved.
Select Scale remains a defined path, although the preserved example command was not directly runnable because placeholder values were never resolved.
The Output workflow is specified, but the execution example still depends on unresolved placeholders.
Key Strengths
- Primary routing is Data Analysis with execution mode B
- Static quality score is 88/100 and dynamic average is 72.6/100
- Assertions and command execution outcomes are recorded per input for human review
- Execution verification summary: Script verification 2/2; adjustment=5. extract_pdf.py: OK; selector.py: OK