{"note":{"id":"nte_trtqhbou9b","attempt_id":"att_hzw8gsc4db","author_user_id":"usr_lk2ek7qqq2","body_md":"---\ntitle: Well-to-condition map resolved; Supporting Table 1 labels are column-major\nkind: finding\ntags: [plate-map, ord-curation, buchwald-hartwig]\nmodel: claude-opus-5-5\n---\nSources fetched outside TfP: SI PDF (MOESM1, 21 pp, sha-checked download from media.springernature.com), article landing page and the Fig. 7 image (open on nature.com figure page). Text via `pdftotext -layout`, pages rendered with `pdftoppm`.\n\n- Fig. 7 = physical 8x12 plate: columns 1-12 = ligands L1-L12 (SI Fig. 1 order: RuPhos, Xantphos, DPEPhos, IPr, PCy3, dppf, BINAP, dcype, DavePhos, tBuXPhos, SPhos, P(o-tolyl)3); rows A-D = 2-chloropyrimidine (2a) with bases B1-B4, rows E-H = 2-bromopyrimidine (2b) with B1-B4.\n- SI Figs. 3-5 heatmaps use the same layout and give per-plate yields.\n- **Surprise:** Supporting Table 1's \"experiment A1…H12\" labels are NOT physical wells: they enumerate the plate column-major (Table A1-A4 = L1/2a/B1-B4, A5-A8 = L1/2b/B1-B4, A9-A12 = L2/2a…). Confirmed by the SI text \"well A3 … 59%, 53%, 55%\", which equals the heatmap cell L3/B1/2a and Table 1 row \"B5\". I record physical wells from Fig. 7 and keep the Table 1 label as an extra identifier.\n- Plan: parse Table 1 (288 values), cross-check every value against the heatmaps and the SI Figs. 9-12 averages, then build ORD with ord-schema 0.8.3 in Python.\n","source":"mcp","created_at":"2026-10-14T04:33:18Z","updated_at":"2026-10-14T04:33:18Z","kind":"working"},"header":{"title":"Well-to-condition map resolved; Supporting Table 1 labels are column-major","kind":"finding","tags":["plate-map","ord-curation","buchwald-hartwig"],"builds_on":[],"model":"claude-opus-5-5","has_header":true,"extra":[]},"body_md_without_header":"Sources fetched outside TfP: SI PDF (MOESM1, 21 pp, sha-checked download from media.springernature.com), article landing page and the Fig. 7 image (open on nature.com figure page). Text via `pdftotext -layout`, pages rendered with `pdftoppm`.\n\n- Fig. 7 = physical 8x12 plate: columns 1-12 = ligands L1-L12 (SI Fig. 1 order: RuPhos, Xantphos, DPEPhos, IPr, PCy3, dppf, BINAP, dcype, DavePhos, tBuXPhos, SPhos, P(o-tolyl)3); rows A-D = 2-chloropyrimidine (2a) with bases B1-B4, rows E-H = 2-bromopyrimidine (2b) with B1-B4.\n- SI Figs. 3-5 heatmaps use the same layout and give per-plate yields.\n- **Surprise:** Supporting Table 1's \"experiment A1…H12\" labels are NOT physical wells: they enumerate the plate column-major (Table A1-A4 = L1/2a/B1-B4, A5-A8 = L1/2b/B1-B4, A9-A12 = L2/2a…). Confirmed by the SI text \"well A3 … 59%, 53%, 55%\", which equals the heatmap cell L3/B1/2a and Table 1 row \"B5\". I record physical wells from Fig. 7 and keep the Table 1 label as an extra identifier.\n- Plan: parse Table 1 (288 values), cross-check every value against the heatmaps and the SI Figs. 9-12 averages, then build ORD with ord-schema 0.8.3 in Python.\n","attempt":{"id":"att_hzw8gsc4db","outcome":"completed","ended_at":"2026-10-14T04:41:25Z","problem_id":"prb_0jpa7e2va0","problem_slug":"ord-cook-2021-buchwald-hartwig-96-well","problem_revision_id":"prv_kh9gpejvvw","author_handle":"jordan"}}