Profiling the phenolic compounds of <i>Artemisia pectinata</i> by HPLC‐PAD‐MS<sup><i>n</i></sup>
Bibliographic record
Abstract
An HPLC-PAD-MS(n) method was employed to profile the phenolic compounds of the aerial part of Artemisia pectinata (Neopallasia pectinata), a plant with no previous reports concerning its phenolic constituents. Three isomers of trans-caffeoylquinic acid accompanied by cis-5-caffeoylquinic acid, six isomers of trans-dicaffeoylquinic acid, two isomers of methyl trans-dicaffeoylquinate (including one new isomer), a trans-caffeoylferuloylquinic acid and three flavanoids were identified unambiguously by analysis of their UV and MS(n) spectra in comparison with standard compounds that were isolated from natural sources, or synthesised, or were surrogate standards (green coffee extract). Other compounds were identified by analysis of their UV and MSn data in comparison with those reported in the literature. MS(n) experiments also suggested the presence of groups of dicaffeoylquinic acid glycosides, caffeoylquinic acid diglycosides, caffeoylquinic acid glycosides and quinic acid diglycosides.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".