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Record W2532082655 · doi:10.1148/radiol.2016150420

Case 235: Hepatic Adenomatosis Due to Inflammatory Adenomas

2016· article· en· W2532082655 on OpenAlexaff
Gavin Low, Harini Dharmana, Samantha Saravana-Bawan, Safwat Girgis

Bibliographic record

VenueRadiology · 2016
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsUniversity of Alberta Hospital
Fundersnot available
KeywordsMedicineAsymptomaticHepatologyMagnetic resonance imagingGadoxetic acidRadiologyCirrhosisBiopsyAbdominal painGastroenterologyInternal medicine

Abstract

fetched live from OpenAlex

History An asymptomatic 33-year-old woman was referred to the Hepatology Department in 2013 for work-up of indeterminate multifocal liver masses. These lesions were discovered incidentally at multiphase contrast material-enhanced multidetector computed tomography (CT) performed in 2004 to investigate right lower quadrant pain. Imaging surveillance at sporadic intervals revealed slow progressive growth of the lesions over time; however, the number of lesions remained constant. There was no history of cancer, nor were there predisposing factors for chronic liver disease or cirrhosis. The patient had a history of menorrhagia, which was managed with oral contraceptive use for 20 years; this was stopped in 2013 after hysterectomy. The patient's γ-glutamyl transferase (77 U/L [1.28 μkat/L]; normal level, <55 U/L [<0.92 μkat/L]) and C-reactive protein (97.1 mg/L [924.8 nmol/L]; normal level, <8 mg/L [<76.2 nmol/L]]) levels were chronically elevated at serum testing. In 2013, 9 years after the initial CT examination, magnetic resonance (MR) imaging with gadoxetic acid (Primovist; Bayer Healthcare, Whippany, NJ) was performed. Finally, ultrasonography (US)-guided biopsy of one of the lesions (in segment 5/6) was performed a year after MR imaging.

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 score0.485
Threshold uncertainty score0.999

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)0.0010.001

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 head0.041
GPT teacher head0.244
Teacher spread0.204 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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