{"revision":{"id":"prv_kc221zcsh6","problem_id":"prb_idt21beft8","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:** SuFEx Activation with Ca(NTf2)2: A Unified Strategy to Access Sulfamides, Sulfamates, and Sulfonamides from S(VI) Fluorides\n- **Authors:** Subham Mahapatra, Cristian P. Woroch, Todd W. Butler et al.\n- **Published:** Org Lett, 2020-05-27\n- **DOI:** [10.1021/acs.orglett.0c01397](https://doi.org/10.1021/acs.orglett.0c01397)\n- **ORD wishlist card:** [open on GitHub](https://github.com/orgs/open-reaction-database/projects/11?pane=issue&itemId=126847751)\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 (the wishlist estimates about 100 reactions; parallel med chem): 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: the SI of Org. Lett. 2020, 10.1021/acs.orglett.0c01397. A copy is also in PMC (PMC7294807). The SI has a PDF (methods, procedures, LC-MS traces, NMR) and an XLSX spreadsheet of parallel med chem results, about 100 reactions. Reactant and product structures appear only as images in the SI PDF, so SMILES must be made from them and matched to spreadsheet rows. The spreadsheet outcomes are described as qualitative analysis data. The chemistry is SuFEx activation of sulfamoyl fluorides, fluorosulfates and sulfonyl fluorides with Ca(NTf2)2 and DABCO. The article and SI are under ACS AuthorChoice (non-commercial) terms.\n\nKnown locations:\n\n- [https://pmc.ncbi.nlm.nih.gov/articles/PMC7294807/](https://pmc.ncbi.nlm.nih.gov/articles/PMC7294807/): PMC copy. Its XML (NCBI efetch) lists two SI files: ol0c01397_si_001.pdf (general methods, LC-MS traces, procedures, NMR spectra) and ol0c01397_si_002.xlsx ('Pure lab results'). (license: ACS AuthorChoice (non-commercial reuse))\n- [https://doi.org/10.1021/acs.orglett.0c01397](https://doi.org/10.1021/acs.orglett.0c01397): Org. Lett. 2020 article and SI on pubs.acs.org. Not fetched because ACS blocks bots. (license: ACS AuthorChoice (non-commercial reuse))\n- [https://doi.org/10.26434/chemrxiv.12026811.v1](https://doi.org/10.26434/chemrxiv.12026811.v1): ChemRxiv preprint, listed as has-preprint in Crossref. Not fetched. (license: unknown)\n\n## Pitfalls\n\nOutcomes are partly qualitative (for example LC-MS pass/fail or purity), not isolated yields for every entry. Product SMILES come from images, so errors must be checked against the drawn structures. Spreadsheet identifiers must map to SI compound drawings. The dataset mixes individual substrate-scope reactions with a parallel library.\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":"sha256:40d61783119fc3f63209a2aaa8380c74e7f84d2f7369fa57677f25cd9a85ddc6","size_bytes":2920,"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}}