Dietary Phytoestrogens, Including Isoflavones, Lignans, and Coumestrol, in Nonvitamin, Nonmineral Supplements Commonly Consumed by Women in Canada
Bibliographic record
Abstract
Twenty-one nonvitamin, nonmineral dietary supplements commonly consumed by women in Canada were analyzed for isoflavones (formononetin, daidzein, genistein, glycitein), lignans (pinoresinol, lariciresinol, secoisolariciresinol, matairesinol), and coumestrol to complement our previously published food phytoestrogen database. Supplements containing soy or red clover had the highest concentrations of total isoflavones (728.2-35,417.0 ug/g) and total phytoestrogens (1030.1-35,517.7 ug/g) followed by licorice and licorice-containing supplements (41.3-363.3 ug/g isoflavones; 56.5-370.0 ug/g total phytoestrogens). Other supplements had considerably less isoflavones (</= 19.0 ug/g) and total phytoestrogens (</= 44.2 ug/g). Lignans were present in all (</= 298.9 ug/g), whereas coumestrol was either not present or present in only small amounts (</= 3.0 ug/g). Supplements differed in phytoestrogen profiles. The daily intake of isoflavones and lignans from some supplements may greatly exceed those from several servings of soy or vegetables. Hence, the intake of supplements should be taken into consideration in clinical or epidemiological studies for more accurate estimation of phytoestrogen intakes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 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".