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Record W2145880526 · doi:10.2217/whe.11.97

Women and Psychosis

2012· review· en· W2145880526 on OpenAlexaff
Mary V. Seeman

Bibliographic record

VenueWomen s Health · 2012
Typereview
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsycINFOPsychosisMedicinePsychiatryQualitative researchPresentation (obstetrics)MEDLINEClinical psychologyPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: There are subtle differences in the presentation of psychosis that depend on the biological sex of the person exhibiting the symptoms. Because much of the early research in the field was conducted on male animals and on men, several issues of importance to women have been relatively neglected until recently. Current research into psychotic illness is beginning to analyze results for men and women separately and greater emphasis on qualitative methods has allowed the experiences of women patients to be documented. METHODS: The last decade of research into the many facets of psychosis in women were reviewed for this paper by introducing the relevant search terms into PubMed, PsycINFO and SOCINDEX. RESULTS: Subtle differences are reported in several areas, with important ramifications for treatment. CONCLUSIONS: It is important for service providers to devise treatment programs that address the different needs of the two sexes. Effective treatment of women with psychosis is especially important in that these women are often mothers, whose well being impacts on the health of the next generation.

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)0.001
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 score0.994
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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)0.0010.000

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 head0.112
GPT teacher head0.426
Teacher spread0.314 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations31
Published2012
Admission routes1
Has abstractyes

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