MétaCan
Menu
Back to cohort
Record W1497317113 · doi:10.1002/0470870818.ch14

Oestrogen and Cognitive Function Throughout the Female Lifespan

2000· review· en· W1497317113 on OpenAlex
Barbara B. Sherwin

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.

Bibliographic record

VenueNovartis Foundation symposium · 2000
Typereview
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsCognitionMenstrual cycleCognitive agingPostmenopausal womenAgeingVerbal memoryEstrogenPsychologyDevelopmental psychologyPhysiologyMedicineMenopauseCognitive skillEndocrinologyInternal medicineNeuroscienceHormone

Abstract

fetched live from OpenAlex

Evidence that oestrogen helps to maintain verbal memory in women comes from several sources. Studies that have tested cognitive functioning at different phases of the menstrual cycle have found few differences, perhaps because oestrogen levels are sufficiently high, albeit variable, during all cycle phases. Experimental studies in postmenopausal women have generally found a protective effect of oestrogen, specifically on verbal memory. Results of several large, longitudinal studies that have become available recently have also demonstrated that women who were oestrogen users performed better on certain tests of cognitive function than non-users of similar age. On the basis of this body of evidence, it is possible to conclude that oestrogen may attenuate or prevent the decline in aspects of memory that occur with normal ageing in women.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.001

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 head0.087
GPT teacher head0.403
Teacher spread0.316 · 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