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Record W2936899247 · doi:10.1177/1359105319840696

Body- and symptom-related concerns in women diagnosed with polycystic ovary syndrome: A gap in symptom management

2019· article· en· W2936899247 on OpenAlexaff
Kendall Soucie, Tanja Samardžić, Kristin Schramer, Zoha Salam, Cindy Ly

Bibliographic record

VenueJournal of Health Psychology · 2019
Typearticle
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsUniversity of Windsor
FundersWorld Health Organization
KeywordsPolycystic ovaryWeight managementMedicineObesityAttractivenessPsychological interventionGynecologyGerontologyPsychologyPsychiatryOverweightInternal medicineInsulin resistance

Abstract

fetched live from OpenAlex

Polycystic ovary syndrome is the most common endocrine disorder among women aged from 18 to 40 years. Its debilitating menstrual/obesity-related symptoms challenge conceptions of femininity. To date, age-related differences in women's body esteem and physicians' symptom management recommendations have not been investigated. Age moderated the relationships between symptom concerns and both sexual attractiveness and physical condition, but only for midlife, not for emerging adult women. Midlife women received holistic management information from physicians, while emerging adult women received weight management information. This study highlights the need for physician training to manage women's health and age-targeted body acceptance interventions for women diagnosed with polycystic ovary syndrome.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.327
Teacher spread0.311 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations9
Published2019
Admission routes1
Has abstractyes

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