Scientific AI Validation Checklist.

Required input fields.

• Hypothesis or task (required)
• Dataset provenance (required): Missing, Partial, Complete and reviewed
• Baseline comparison (required): Missing, Partial, Complete and reviewed
• Leakage checks (required): Missing, Partial, Complete and reviewed
• Ablations (required): Missing, Partial, Complete and reviewed
• Uncertainty reporting (required): Missing, Partial, Complete and reviewed
• Reproducibility artifacts (required): Missing, Partial, Complete and reviewed
• External validity (required): Missing, Partial, Complete and reviewed

Data handling: this interface uses the L2ET protected same-origin instrument engine. Do not enter confidential, regulated, privileged, incident, medical or sensitive operational data.

Validation Protocol logic.

Maps validation evidence across provenance, baselines, leakage, ablations, uncertainty, reproducibility and external validity.

Source families

Assumptions

• Validation depth depends on domain and task.
• User-entered evidence may be incomplete.
• High score still requires independent review.

Scientific validation protocol.

The generated artifact includes findings, assumptions, limitations, recommended next actions and exportable structured output.

Export options

Example input and output.

Example input

A material-property model has partial provenance and baselines but missing leakage and uncertainty checks.

Example output

Outputs validation protocol, missing evidence, benchmark weakness and reproducibility actions.