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Record W1255363591 · doi:10.1155/2016/8954308

A Curious Case of Iron-Deficiency Anemia

2016· article· en· W1255363591 on OpenAlexaff
Seth R. Shaffer, Mayur Brahmania, Hemant Shah

Bibliographic record

VenueCanadian Journal of Gastroenterology and Hepatology · 2016
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsToronto General HospitalKingston General HospitalUniversity Health NetworkQueen's University
Fundersnot available
KeywordsMedicineGastroenterologyInternal medicineMelenaCirrhosisEsophageal varicesColonoscopyChronic liver diseaseLiver biopsyPortal hypertensionAbdominal painGastric varicesLiver function testsBiopsy

Abstract

fetched live from OpenAlex

A 49-year-old Brazilian male presented to the emergency department with a five-day history of abdominal pain, dark stools, and syncope. Physical examination did not reveal any melena on digital rectal examination and there were no stigmata of chronic liver disease. Laboratory results showed hemoglobin of 47 g/L, MCV of 80 fL, and ferritin of 6 ng/mL. Liver enzymes and liver function tests were normal. Abdominal ultrasound showed a cirrhotic liver with splenomegaly and varices suggestive of portal hypertension. His past history was significant for cirrhosis based on a previous variceal bleed but a workup for chronic liver disease was negative and a liver biopsy did not show steatosis, fibrosis, or cirrhosis. A gastroscopy in this admission showed large esophageal varices without high-risk stigmata and no overt bleeding was seen. A colonoscopy was subsequently completed to the terminal ileum and was normal aside from a 5 mm sessile polyp in the descending colon.

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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.002
Open science0.0020.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.229
Teacher spread0.220 · 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 designCase report
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
Published2016
Admission routes1
Has abstractyes

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