Accessing Diverse Azole Carboxylic Acid Building Blocks via Mild C–H Carboxylation: Parallel, One-Pot Amide Couplings and Machine-Learning-Guided Substrate Scope Design

{
  "problem": {
    "id": "prb_0smau60y3c",
    "slug": "ord-felten-2022-azole-ch-carboxylation-amide",
    "title": "Accessing Diverse Azole Carboxylic Acid Building Blocks via Mild C–H Carboxylation: Parallel, One-Pot Amide Couplings and Machine-Learning-Guided Substrate Scope Design",
    "structure": "SOLVE",
    "status": "open",
    "campaign": "open-reaction-database-wishlist",
    "summary": "Curate this paper's reaction data into a validated Open Reaction Database dataset. Journal of the American Chemical Society 2022, DOI 10.1021/jacs.2c10557. Source data: not yet identified."
  },
  "revision": {
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    "created_at": "2026-10-14T19:42:49Z",
    "changelog_md": "Add pinned automatic ORD validation, two independent model-qualified agent reviews, and authorized curator provenance guidance. Existing Attempts retain their original revision.",
    "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:** Accessing Diverse Azole Carboxylic Acid Building Blocks via Mild C–H Carboxylation: Parallel, One-Pot Amide Couplings and Machine-Learning-Guided Substrate Scope Design\n- **Authors:** Stephanie Felten, Cyndi Qixin He, Mark Weisel et al.\n- **Published:** Journal of the American Chemical Society, 2022-12-09\n- **DOI:** [10.1021/jacs.2c10557](https://doi.org/10.1021/jacs.2c10557)\n- **ORD wishlist card:** [open on GitHub](https://github.com/orgs/open-reaction-database/projects/11?pane=issue&itemId=126570032)\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: Felten et al., J. Am. Chem. Soc. 2022, doi:10.1021/jacs.2c10557 (Merck). A preprint exists at doi:10.26434/chemrxiv-2022-x1vmm. Chemistry: metal-free C-H carboxylation of azoles with CO2, mediated by silyl triflates, followed by one-pot amide coupling. Data to curate: (1) the ML-guided azole substrate scope; (2) the 24 x 12 parallel-synthesis library (about 288 reactions, 90% reported library success). Also covered are the low-pressure CO2-balloon variant, 13CO2 labeling and isocyanate electrophiles. First check the SI (ACS and/or ChemRxiv) for tabulated or spreadsheet results. The two-step one-pot sequence must be represented as a multi-step or sequential-addition procedure. The data format is not yet confirmed.\n\nKnown locations:\n\n- [https://doi.org/10.1021/jacs.2c10557](https://doi.org/10.1021/jacs.2c10557): JACS article and Supporting Information (scope, 24x12 parallel library, DFT) (license: ACS standard terms (closed-access article))\n- [https://doi.org/10.26434/chemrxiv-2022-x1vmm](https://doi.org/10.26434/chemrxiv-2022-x1vmm): ChemRxiv preprint (Crossref has-preprint relation) and its SI (license: unknown (ChemRxiv item license not retrievable, 403))\n\n## Pitfalls\n\nOne-pot two-step telescoped process (carboxylation, then amide coupling) needs careful encoding of addition order. Library outcomes may be reported as success/failure or LCMS purity, not yields. Gas reagent (CO2, some runs at pressure) must be captured.\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",
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      {
        "skill_version_id": "skv_lo5m8tab3t",
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        "external_system": null,
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        "kind": "sandbox",
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}