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Record W1929032179 · doi:10.1093/clinchem/46.6.887

Genistein: A Potent Natural Antiandrogen

2000· letter· en· W1929032179 on OpenAlexaff
Rachel S Rosenberg Zand, David Jenkins, Eleftherios P. Diamandis

Bibliographic record

VenueClinical Chemistry · 2000
Typeletter
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsAntiandrogenGenisteinMedicineChemistryInternal medicineProstate cancerCancer

Abstract

fetched live from OpenAlex

Flavonoids and other polyphenolic natural compounds have attracted much attention as candidate cancer preventive and anticarcinogenic agents, as well as antiatherogenic and antioxidant compounds (1). Although the public now consumes these compounds in substantial amounts from dietary sources, food supplements, and more recently, as “nutraceutical” tablets, their actual mode of action is not fully defined. The most compelling hypotheses correlate the biological action of flavonoids to their ability to mimic natural estrogens (2)(3) such as estradiol, or to act as antioxidants (4). Indeed, genistein, a natural soy isoflavone, is among the most potent known phytoestrogens. The ability of flavonoids to act as androgen mimics or antiandrogens has attracted much less attention. Recently, …

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.043
GPT teacher head0.379
Teacher spread0.337 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations23
Published2000
Admission routes1
Has abstractyes

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