Bibliographic record
Abstract
Saskatoon berry [Amelanchier alnifolia (Nutt.) Nutt., Rosaceae], also known as serviceberry, is a deciduous shrub native to the northern prairies and plains of North America. Saskatoon berries are an excellent source of typical health-promoting nutrients such as fibers, minerals (manganese, calcium, potassium, magnesium, iron), and vitamins (tocopherol, pyridoxine, riboflavin, ascorbic acid, riboflavin, thiamin, pantothenic acid). Saskatoon berries are rich in health-promoting phytochemical compounds, mainly anthocyanins (cyanidin-3-galactoside, cyanidin-3-glucoside, cyanidin-3-arabinoside, and cyanidin-3-xyloside), flavonols (quercetin-3-galactoside, quercetin-3-glucoside, quercetin-3-arabinoglucoside, quercetin-3-arabinoside, quercetin-3-rutinoside, and quercetin-3-xyloside), proanthocyanidins (A- and B-type procyanidins with different degrees of polymerization), phenolic acids, and volatile components. The total fat content of saskatoon berry seed oil is 99 g/100 g of oil, of which 9.8 g/100 g is saturated fat, 31 g/100 g is monounsaturated fat, and 58 g/100 g is cis–cis polyunsaturated fat. Saskatoon berry seed oil contains approximately 10 g of phytosterols per kilogram of oil (β-sitosterol, Δ5-avenasterol, campesterol, and stigmasterol). In mature (purple) saskatoon berries, the content of cyanogenic compounds amygdalin and prunasin were found to be 42–118 mg/kg and 5–17 mg/kg of fresh weight, respectively. These compounds are confined to the seeds, which greatly slows down their absorption when saskatoon berry fruit are consumed. In summary, saskatoon berries are emerging as a functional food because they are an excellent source of minerals, fiber, and phenolic compounds such as anthocyanins and proanthocyanidins.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".