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Record W4311025743 · doi:10.1093/cid/ciac558

A Woman With a Complex Cystic Pelvic Mass

2022· article· en· W4311025743 on OpenAlexaffabout
Maxime J. Billick, Marta Cybulsky, Stéphane Laframboise, Luís Guimarães, Wayne L. Gold

Bibliographic record

VenueClinical Infectious Diseases · 2022
Typearticle
Languageen
FieldMedicine
TopicDiagnosis and treatment of tuberculosis
Canadian institutionsSinai Health SystemPrincess Margaret Cancer CentreUniversity Health NetworkWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicinePalpationPhysical examinationSurgeryAuscultationPast medical historyPelvisSupraclavicular lymph nodesAbdominal massPresentation (obstetrics)ExertionMedical historyRadiologyPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

A 27-year-old woman presented to the emergency department with a 5-month history of abdominal pain and a 7-kg weight loss. She had no medical or surgical history and did not take medications. She immigrated to Canada from the Philippines 11 months before symptom onset. The month before presentation, she experienced the onset of night sweats and fatigue. She also reported shortness of breath on exertion. On presentation, heart rate was 111 beats per minute (regular); she was afebrile. Her body mass index was 16.8 kg/m2. Head and neck examination revealed supraclavicular lymph node enlargement and scarring of the right side of her neck from which she described spontaneous, intermittent drainage (Figure 1). Auscultation of her chest revealed reduced breath sounds in the right lung base. On abdominal examination, there was guarding on palpation of the left lower and right upper quadrants. Pelvic and rectovaginal examinations revealed an anterior mass and a palpable bulge in the cul-de-sac. The cervix was noted to feel normal on bimanual examination.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.006
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0030.000

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 head0.043
GPT teacher head0.352
Teacher spread0.309 · 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

Citations2
Published2022
Admission routes2
Has abstractyes

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