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Record W1557260195 · doi:10.2741/1063

Androgens and androgen receptor in prostate and ovarian malignancies

2003· review· en· W1557260195 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFrontiers in bioscience · 2003
Typereview
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesHealth Canada
KeywordsAndrogen receptorProstate cancerAndrogenCarcinogenesisCancer researchEndocrine systemProstateSignal transductionMedicineBiologyInternal medicineEndocrinologyCancerHormoneCell biology

Abstract

fetched live from OpenAlex

The molecular and biochemical mechanisms contributing to the development and progression of both prostate and ovarian carcinogenesis are currently unknown. A better understanding of the cross-talk between endocrine, signal transduction and regulatory pathways in normal and neoplastic prostatic and ovarian tissues is necessary to elucidate malignant progression in these tissues. This review compares these two malignancies with reference to androgens and the androgen receptor. In particular, the expression and relevance of androgen-regulated genes are discussed. Cytokines, co-activators and co-regulators that interact or effect the androgen receptor are also considered. With increased understanding of the molecular mechanisms of prostate and ovarian carcinogenesis, the identification and development of novel and existing biomarkers may become more achievable.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.037
GPT teacher head0.325
Teacher spread0.288 · 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