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Record W2126961378 · doi:10.1007/978-0-387-88186-7_18

Androgens—Molecular Basis and Related Disorders

2009· book-chapter· en· W2126961378 on OpenAlexaff
Christine Meaden, P. Jorge Chedrese

Bibliographic record

VenueReproductive Endocrinology · 2009
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSexual Differentiation and Disorders
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAndrogenEndocrinologyInternal medicineTestosterone (patch)DihydrotestosteroneDehydroepiandrosteroneAndrogen receptorAndrostenedioneLibidoHormoneBiologyChemistryMedicineProstate cancer

Abstract

fetched live from OpenAlex

The term androgen refers to any natural or synthetic compounds that stimulate or control development and maintenance of masculine characteristics. Most commonly, androgens refer to endogenous steroid sex hormones responsible for virilizing the accessory male sex organs and secondary sex characteristics. Androgens are mainly synthesized by the testes, although females also produce small amounts, which are important for positive protein balance, maintaining strong muscles and bones, and contribute to libido. There are two major androgens secreted by the testes: testosterone and 5α-dihydrotestosterone (5α–DHT). Two weaker androgens primarily synthesized in the adrenal cortex and in smaller amounts by the testes and ovaries are dehydroepiandrosterone (DHEA) and androstenedione, which are converted metabolically to testosterone and other androgens. There is one common androgen receptor (AR) that all androgens bind to, although their target genomic responses are distinctly different. Testosterone is the most abundant androgen with 4–10 mg secreted daily in adult men. 5α-DHT binds the AR with higher affinity than all other androgens, making 5α-DHT the most potent androgen. This chapter focuses on the fundamental molecular mechanisms of the effects of androgens, androgen metabolism in males and defects in the AR that is meant to communicate the complexity of intersex disorders.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.008
GPT teacher head0.236
Teacher spread0.228 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2009
Admission routes1
Has abstractyes

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