{"revision":{"id":"prv_o6auvu7j0k","problem_id":"prb_y9tfmex386","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:** RIPPLY: Real-TIme Parallel Progress AnaLYsis of Organic Reactions Using Near-Infrared Spectroscopy\n- **Authors:** Robbert van Putten, Koen De Smet, Laurent Lefort\n- **Published:** OPRD, 2023-10-24\n- **DOI:** [10.1021/acs.oprd.3c00257](https://doi.org/10.1021/acs.oprd.3c00257)\n- **ORD wishlist card:** [open on GitHub](https://github.com/orgs/open-reaction-database/projects/11?pane=issue&itemId=126569954)\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 (medium throughput kinetics): 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\nMedium-throughput parallel reaction-progress monitoring by near-infrared spectroscopy (OPRD 2023). The ORD wishlist records that the underlying data are not in the article or its SI. The dataset would have to be obtained from the authors before any curation can start. If released, it is time-course data: several conversion measurements per reaction at different times.\n\nKnown locations:\n\n- [https://doi.org/10.1021/acs.oprd.3c00257](https://doi.org/10.1021/acs.oprd.3c00257): OPRD 2023 article describing parallel NIR reaction monitoring (not fetched; ACS blocks automated access). Per the ORD notes, the underlying data are not included. (license: closed article (ACS))\n\n## Pitfalls\n\nTime-course kinetic outcomes, with many timepoints per reaction, derived from NIR spectral models rather than direct assay. Calibration and the chemometric model provenance need recording.\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:d76299a13918e261f75b4ea52758e7365a09297b41a0a9a6f81a01286374cc94","size_bytes":1795,"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}}