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Record W4384523262 · doi:10.56367/oag-039-10859

Understanding immune mechanisms to create novel treatments for primary biliary cholangitis

2023· article· en· W4384523262 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOpen Access Government · 2023
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPrimary biliary cirrhosisMedicineGastroenterologyJaundiceNauseaInternal medicineObeticholic acidVomitingAbdominal painImmune systemImmunology

Abstract

fetched live from OpenAlex

Understanding immune mechanisms to create novel treatments for primary biliary cholangitis Professor Channakeshava S Umeshappa from Dalhousie University discusses the burden of primary biliary cholangitis and how understanding immune mechanisms may help to treat it. Primary biliary cholangitis (PBC) is characterised by chronic inflammation of the interlobular bile ducts, leading to fibrosis, cirrhosis, and liver failure if left untreated. Symptoms of PBC include fatigue, jaundice, itchy skin, abdominal pain, nausea or vomiting, dry eyes and mouth, and bone and joint aches. The incidence of PBC is increasing worldwide,(1) but is most common in Europe and North America.(2) PBC has a female predominance, affecting primarily middle-aged women (over 90% of the PBC cases). Clinically, it is often diagnosed by detecting anti-mitochondrial autoantibodies and elevated alkaline phosphatase enzymes in blood tests.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score0.624

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 communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.251
GPT teacher head0.400
Teacher spread0.149 · 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