Gen AI Agents
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Agent catalog for research and discovery operations. Open an agent to configure inputs and simulate execution output. Business and scientific purpose: augment scientists with guided automation while maintaining human review and governance guardrails. Gen AI Agents is connected to linked entities, metrics, and workflow actions in this workspace. Use these panels to review evidence, identify risks, and decide the next best scientific action. The view uses deterministic demo data shaped to mirror realistic drug discovery operations.
Omics QC Assistant
Validate omics dataset quality, outliers, and lineage readiness before downstream analysis.
QC scorecardOutlier reportLineage gate recommendation
Execution ID: AGT-7493 Agent: Omics QC Assistant Domain: Data & Knowledge Context: Dataset ID: DS-0008 | QC threshold: 0.82 | Batch scope: B1-B4 Summary - Confidence: 0.81 - Risk profile: moderate - Checks flagged for review: 2 - Runtime: 36s Primary Findings 1. Signal consistency check passed for core inputs; 2 secondary anomalies were detected in edge-case slices. 2. Evidence chain is sufficient for draft recommendation with human validation at approval gate. 3. Suggested next action: run confirmation workflow and attach artifacts to linked study/report. Generated Artifacts 1. QC scorecard 2. Outlier report 3. Lineage gate recommendation Recommended Next Step - Route output to decision dossier and request reviewer sign-off before production execution.