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This paper proposes a deterministic climate-risk intelligence framework integrating orchestration, anomaly detection, and imbalance-aware ensemble learning for auditable ESG validation, addressing fragmented Scope 1-3 reporting data.
A software tool designed to detect data fabrication has uncovered copy-paste errors in scientific datasets across open-access repositories, including a highly-cited Parkinson's Disease study in Cell (2016) that has been publicly available for over 8 years without detection.