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Record W1483200189 · doi:10.5772/35813

How Do Lampreys Avoid Cholestasis After Bile Duct Degeneration?

2012· book-chapter· en· W1483200189 on OpenAlexaff
Mayako Morii, Yoshihiro Mezaki, Kiwamu Yoshikawa, Mitsutaka Miura, Katsuyuki Imai, Taku Hebiguchi, Ryo Watanabe, Yoshihiro Asanuma, Hiroaki Yoshino, Haruki Senoo

Bibliographic record

VenueInTech eBooks · 2012
Typebook-chapter
Languageen
FieldMedicine
TopicPediatric Hepatobiliary Diseases and Treatments
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsCholestasisBile ductDegeneration (medical)MedicineInternal medicinePathology

Abstract

fetched live from OpenAlex

Biliary atresia (BA) is the most common cause of cholestasis during infancy for which an etiology remains undetermined. Patients require hepatic portoenterostomy within the first 2-3 months of life in order to restore bile flow from the liver into the intestinal tract. Even with successful surgery, in most patients the disease advances to end-stage cirrhosis due to the progressive destruction of bile ducts, and requires liver transplantation in order for long term survival to be viable (Mack & Sokol, 2005). Without a better understanding of the etiology and pathogenesis of the progressive cholangitic mechanisms in BA, improvement in the prognosis of non-transplantation patients should not be expected. Despite the importance of understanding these underlying mechanisms, research of BA has been hindered by the lack of a suitable animal model.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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 head0.021
GPT teacher head0.250
Teacher spread0.229 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2012
Admission routes1
Has abstractyes

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