Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective To study the chemical constituents in Taxus cuspidata from Canada.Methods Chemical constituents were isolated by column chromatography,preparative TLC,and preparative HPLC.The structures were identified on the basis of 1D-and 2D-NMR spectral analyses.Results Ten taxane diterpenoids were isolated from the needls of T.cuspidata grown in Canada.They were identified as:2 α,9 α-diacetoxy-5 α-cinnamoyloxy-10 β-hydroxyl-taxa-4(20),11-diene-13-one(10-deacetyltaxinine)(Ⅰ);2 α,10 β-biacetoxy-5 α-cinnamoyloxy-9α-hydroxyl-taxa-4(20),11-diene-13-one(9-deacetyltaxinine)(Ⅱ);2 α,9 α,10 β-triacetoxy-5 α-cinnamoyloxy-13 α-hydroxyl-taxa-4(20),11-diene(Ⅲ);2 α,9 α,10 β-triacetoxy-5 α-cinnamoyloxy-13 α-hydroxyl-13,16-epoxy-taxa-4(20),11-diene(taxezopidine J)(Ⅳ);2 α,7 β,9 α,10 β,13-pentaacetoxy-5 α-cinnamoyloxy-11 α-hydroxyl-taxa-4(20),12-diene(taxuspine D)(Ⅴ);2 α,7 α,9 α,10 β-tetraacetoxy-5 α-cinnamoyloxy-11 β-hydroxyl-12,16-epoxy-taxa-4(20)-ene-13-one(taxagifin)(Ⅵ);2 α,7 β,9 α,10 β,19-pentaacetoxy-5 α,11 α-dihydroxyl-12,16-epoxy-taxa-4(20)-ene-13-one(19-debenzoyl-19-acetyl-taxinine M)(Ⅶ);2 α,5 β,13 α-triacetoxy-1 β,7 β,9 α,10 β-tetrahydroxy-4,20-epoxy-taxa-11(12)-ene(taxumairol C)(Ⅷ);4 α,10 β,13 α-triacetoxy-2 α-benzoyloxy-1 β,7 β,9 α-trihydroxyl-5,20-epoxy-taxa-11-ene(9-dihydro-13-acetyl-baccatin Ⅲ)(Ⅸ);4 α,13 α-diacetoxy-2 α-benzoyloxy-7 β,9 α,10 β,15-tetrahydroxyl-5,20-epoxy-11(15→1)-abeo-taxa-11-ene(7,9,10-tri-deacetyl-abeo-baccatin Ⅵ)(Ⅹ).Conclusion Compounds Ⅷ and Ⅹ are obtained from T.cuspidata for the first time.Compound Ⅲ is obtained from the needls of T.cuspidata for the first time.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it