Survey of bioactive components in Western Canadian berriesThis article is one of a selection of papers published in this special issue (part 2 of 2) on the Safety and Efficacy of Natural Health Products.
Bibliographic record
Abstract
Berries native to Western Canada were analyzed for total anthocyanins, total phenolics, and trolox equivalent antioxidant activity (TEAC). Values ranged from 1.60 to 9.55 mmol trolox equivalent per 100 g fresh mass. Anthocyanin content ranged from 41.6 (in red twinberries) to 1081 mg cyanidin-3-glucoside equivalents per 100 g fresh mass (in honeysuckle fruits). Honeysuckle fruits contained the highest amount of total polyphenols, 1111 mg gallic acid equivalents per 100 g, among analyzed fruits. Additionally, anthocyanins in the investigated berries were identified and characterized by HPLC - electrospray ionization - tandem mass spectrometric method coupled with diode array detection. The number of anthocyanins varied from 4 in saskatoon berries (Amelanchier alnifolia Nutt.) to 20 in bilberries (Vaccinum myrtilloides Michx.). In all the samples analyzed, 6 common anthocyanidins:, cyanidin, delphinidin, pelargonidin, petunidin, peonidin, and malvidin, were found. Half the analyzed berries contained acylated anthocyanins, but a significant amount was found only in bilberries. The analyzed berry seed oils contained high amounts of unsaturated fatty acids (over 90%), but only the golden currant seed oil contained gamma-linolenic acid.
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.
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 | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 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 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".