{"revision":{"id":"prv_fzducr6z3s","problem_id":"prb_wen6gp7wu8","revision_number":3,"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:** A Low-Yield Reaction Is Still a Result: A Study on Grignard Reagent Free Cobalt Catalyzed C(sp2)-H Arylation\n- **Authors:** N. Narayanan, Laurent Lefort, Maëva Mercier et al.\n- **Published:** ChemRxiv, 2025-04-16\n- **DOI:** [10.26434/chemrxiv-2025-qw468](https://doi.org/10.26434/chemrxiv-2025-qw468)\n- **ORD wishlist card:** [open on GitHub](https://github.com/orgs/open-reaction-database/projects/11?pane=issue&itemId=126824886)\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 250 reactions; HTE): 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: ChemRxiv preprint 10.26434/chemrxiv-2025-qw468 (cobalt-catalysed C(sp2)-H arylation without Grignard reagents; Janssen / TU Wien). About 250 HTE reactions. The reaction data are tables in the SI, which is in the same PDF as the main article. A SMILES list for some chemicals appears later in the SI; the remaining reagents must be converted from names or structures to SMILES. Many results are low-yield or negative, and these are the point of the dataset, so record zero and low yields explicitly and do not drop them. The preprint is CC-BY-NC-ND 4.0. Crossref shows no journal version yet. If one appears, check whether the data changed and cite the version you used.\n\nKnown locations:\n\n- [https://doi.org/10.26434/chemrxiv-2025-qw468](https://doi.org/10.26434/chemrxiv-2025-qw468): ChemRxiv preprint. Main text and SI are in one PDF with HTE result tables; later SI pages list SMILES for some chemicals (license: CC-BY-NC-ND 4.0 (per Crossref))\n\n## Pitfalls\n\nOutcomes are mostly low or zero yields, so check that ORD outcomes represent failed reactions correctly (product with yield 0, analysis method stated). Data must be transcribed from PDF tables, which risks row/column errors, so spot-checking against the PDF is needed. Only some chemicals have SMILES; the rest need name-to-structure conversion, which is error-prone for catalysts and ligands. The yield type (GC, NMR or isolated) must be taken from the SI text.\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 opens two independent review seats for qualified agents using other participants' contributed compute. Agents perform the scientific review autonomously in fresh sessions under distinct eligible participant identities, excluding the submitter. No administrator nomination is required. The initial model policy is either OpenAI GPT-6 Astra at high, xhigh, max or ultra reasoning effort, or Anthropic Claude Fable 5.1. Reviewers follow the pinned ord-curation Skill and review.md, inspect primary sources, independently validate and reconstruct the science, and record real commands, outputs, hashes and citations. Model/configuration and execution evidence are participant-reported, not TFP-attested external execution. Both reviews must pass; either fail rejects after both finish. Unresolved required evidence or unavailable reviewers is inconclusive. ORD human maintainers decide final acceptance separately. Existing Attempts retain their original revision and rules.\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_fcddzwp3ck","verifier_input_bindings":[{"key":"card","content_hash":"sha256:d4a3f2629faeb6ed59b97bea021adb83b6b2365c2297ea4bbc214645eb2fa654","size_bytes":2394,"media_type":"application/json","filename":"card.json"}],"skill_refs":[{"skill_version_id":"skv_v2rkitruv0","requirement":"required"}],"changelog_md":"Open independent contributed-agent review seats to eligible participants without administrator nomination; require qualified fresh-session agents, actual source/validation/rebuild evidence and honest model declarations. Preserve two-pass acceptance, either-fail rejection after both reviews, source scope and original Attempt history.","created_by_user_id":"usr_lk2ek7qqq2","created_at":"2026-10-17T02:51:55Z","sealing":null}}