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Record W4307642052 · doi:10.1097/ogx.0000000000001099

Relationship Between Opioid Prescriptions and Number of Chronic Pain Conditions in Women With Interstitial Cystitis

2022· article· en· W4307642052 on OpenAlexaboutno aff
Jordann-Mishael Duncan, Christopher X. Hong, Heidi S. Harvie, Lily A. Brown, Lily A. Arya, Edward K. Kim

Bibliographic record

VenueObstetrical & Gynecological Survey · 2022
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsnot available
Fundersnot available
KeywordsInterstitial cystitisMedicineUrogynecologyPelvic painMedical prescriptionChronic painUrologyChronic pyelonephritisInternal medicineGynecologyUrinary systemUrinary incontinencePhysical therapySurgeryNursing

Abstract

fetched live from OpenAlex

(Abstracted from Urogynecology 2022;28:547–553) Up to 8 million women in the United States are affected by interstitial cystitis (IC), which is a chronic condition characterized by coexisting urinary and pelvic pain conditi0ons. Managing the condition frequently proves challenging due to its chronic nature and a lack of effective IC treatments, but several medical organizations (such as the American Urological Association, Canadian Urological Association, the European Association of Urology, and the Royal College of Obstetricians and Gynecologists) have issued guidelines for management.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0030.000

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 head0.056
GPT teacher head0.328
Teacher spread0.273 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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