Variation in the Anthocyanin Concentration of Wild Populations of Crowberries (<i>Empetrum nigrum</i> L subsp. <i>hermaphroditum</i>)
Bibliographic record
Abstract
Crowberry (Empetrum nigrum L.) is a relatively under-utilized wild berry that occurs widely throughout the northern hemisphere such as in Canada, Eurasia, and northern Europe. In this work, the anthocyanins of crowberries were analyzed from four geographically distinct crowberry populations in Finland using HPLC-DAD and HPLC-ESI/MS/MS. A total number of 15 anthocyanins were detected; 15 (11 structure elucidated) in all samples in order to profile-specific anthocyanin compositions throughout Finland. The major anthocyanin found in the samples collected from central and eastern Finland was delphinidin 3-galactoside accounting for more than 24% of the total anthocyanin content, while the cyanidin 3-galactoside was the major anthocyanin in the northernmost and in the western samples. Significant variation in the concentrations of different anthocyanins between and within crowberry populations were found suggesting that the synthesis of anthocyanins is modified by site-specific environmental conditions. The suitability of the crowberries as a potential source of health-promoting ingredients for incorporation into pharmaceutical and food industrial products is highlighted in this work due to the diverse anthocyanin profile.
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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 | 0.001 | 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".