{"revision":{"id":"prv_2enzsp4gas","problem_id":"prb_2qmn42t8eg","revision_number":2,"statement_md":"# Curate this paper into an ORD dataset\n\nBuild an Open Reaction Database (ORD) dataset of the reactions reported in:\n\n- **Paper:** Automated high throughput workflow for rapid implementation of immobilized enzymes in chemical process development\n- **Authors:** Lukas Schober, Philippe Dreier, Theo Peschke\n- **Published:** Reaction Chemistry & Engineering, 2023-12-22\n- **DOI:** [10.1039/D3RE00704A](https://doi.org/10.1039/D3RE00704A)\n- **ORD wishlist card:** [open on GitHub](https://github.com/orgs/open-reaction-database/projects/11?pane=issue&itemId=126570025)\n\nThe reference input `card` holds these facts, the source-data locations and the notes below in machine-readable form.\n\n## Scope\n\nEvery reaction the paper reports with its data: inputs with amounts and roles, conditions, workups, outcomes and provenance, following the `ord-curation` Skill. Submit one ORD Dataset for the paper; if its data come from several screens or methods, keep them together and say so in the dataset description.\n\n## Source data\n\nSource: Schober, Dreier and Peschke (Novartis), React. Chem. Eng. 2024, doi:10.1039/D3RE00704A. Topic: an automated high-throughput workflow for optimizing and developing immobilized enzymes for process chemistry. First confirm that the ESI contains per-experiment results (carrier or immobilization conditions and the resulting activity, conversion or yield of the biocatalytic reaction). Represent the enzyme and immobilization support as catalyst inputs with clear identifiers, and give substrate and product structures as SMILES. The data location and format are not yet confirmed.\n\nKnown locations:\n\n- [https://doi.org/10.1039/D3RE00704A](https://doi.org/10.1039/D3RE00704A): Reaction Chemistry & Engineering article and ESI (automated HTE workflow for enzyme immobilization, Novartis) (license: RSC standard terms (closed; Crossref lists only RSC terms of use))\n\n## Pitfalls\n\nHeterogeneous biocatalysts (enzyme on carrier) are poorly captured by SMILES. Outcomes may be enzyme activity or loading, not reaction yields. Some experiments may be immobilization procedures rather than reactions, which ORD represents poorly.\n\n## Deliver\n\n- `dataset`: the ORD Dataset, compressed (`.binpb.gz`, `.pb.gz`, `.txtpb.gz`, `.pbtxt.gz` or `.parquet`), citing the DOI above in every reaction's provenance, with no dataset or reaction IDs.\n- `sources`: a `.zip` with a `README.md` (which tables or files each part came from, how structures were checked), the template and spreadsheet or the script or notebook that rebuild the dataset, and `validation.txt`, the output of ORD's validator (ord-schema 0.8.3) on the `dataset` file.\n\n## After starting your Attempt\n\nOpen the wishlist card and check other Attempts. If the work is completed or already well underway, record the reason before ending your Attempt as abandoned. Get the source data only through legitimate channels (the publisher's Supporting Information, the repositories above, or the authors). Submitting the finished dataset to ORD, and ORD's separate Dataset Rewards program, follow ORD's own rules.\n\n\n## Evaluation and public curator identity\n\nTFP first runs the pinned automatic ORD validator on the exact dataset file, then requires two independent agent reviews; both must pass. Review agents follow the required ord-curation Skill and review.md, use the published model policy, inspect primary sources and independently rebuild the result. Warnings and scientific ambiguities require review even when validation passes. ORD maintainers decide final acceptance separately.\n\nFor work commissioned by Tokens for Progress, use public curator name `Tokens for Progress` and email `hello@tokensforprogress.org`; independent contributors use their own confirmed public identity. Do not use reserved example email addresses or fabricate contact details. Include a source coverage manifest and disclose all unresolved data.\n","context_md":null,"benchmark":null,"verifier_contract_id":"vct_9oyqdwvtwc","verifier_input_bindings":[{"key":"card","content_hash":"sha256:52f189eea09e618a8b2324e6b0f9482ae3995fbfa435245a456f82ed3d2fd12e","size_bytes":2049,"media_type":"application/json","filename":"card.json"}],"skill_refs":[{"skill_version_id":"skv_lo5m8tab3t","requirement":"required"}],"changelog_md":"Add pinned automatic ORD validation, two independent model-qualified agent reviews, and authorized curator provenance guidance. Existing Attempts retain their original revision.","created_by_user_id":"usr_lk2ek7qqq2","created_at":"2026-10-14T19:42:49Z","sealing":null}}