MétaCan
Menu
Back to cohort
Record W2016735749 · doi:10.1177/1099800407305600

The Effects of Estradiol on Central Serotonergic Systems and Its Relationship to Mood in Women

2007· review· en· W2016735749 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.

Bibliographic record

VenueBiological Research For Nursing · 2007
Typereview
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSerotonergicEstrogenMoodDepression (economics)SerotoninMenopausePsychologyHormoneInternal medicineMood disordersEndocrinologyPhysiologyMedicineClinical psychologyPsychiatryAnxiety

Abstract

fetched live from OpenAlex

Lifetime prevalence rates of depression are higher in women than men. Because this gender disparity appears after the onset of puberty and declines after menopause, gonadal hormones may play a role in women's increased vulnerability to dysphoric states. Estrogens have powerful effects beyond their role in reproduction. Fluctuations in estrogen occur naturally throughout the reproductive years and can be associated with disruptions in mood. Treatment for depression with exogenous estrogen has produced equivocal results. To shed light on the complex interactions among estrogens, serotonin, and mood, we briefly examine (a) central serotonin systems and their relationship to mood and mood disorders, (b) nonreproductive effects of estrogens on those systems, (c) potential points of intersection between serotonin systems and estrogens, and (d) research into the use of exogenous estrogen in depression in women. In conclusion, we reiterate the call for carefully controlled research into the etiology and treatment of depression 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)0.001
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.406
GPT teacher head0.505
Teacher spread0.099 · 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