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Reproduce the paper's HER (linear) and CO2RR (random forest) models and their LOO and LOCO R2 from the released 2024 data, report every discrepancy, then run the same models on the bound 2025 data with the Campaign's canonical targets to establish the baselines later Problems must beat.
Verified when the result document satisfies document_schema and a campaign reviewer, having read the report and re-run the code where the Problem statement asks for it, confirms the Submission meets the statement's acceptance bar.
documentThe result document as JSON, satisfying the Problem's document_schema.
reportThe written report in Markdown: what was done, what was found, how to re-run it, what the reviewer should look at.
codeAn archive (zip or tar.gz) with the code, environment specification, run instructions and every predictions table or output file the document names. No data files that are already bound inputs.