MétaCan
Menu
Back to cohort
Record W2076090601 · doi:10.1159/000171400

Gamma-Aminobutyric Acid and the Liver

2008· review· en· W2076090601 on OpenAlexaff
Gerald Y. Minuk

Bibliographic record

VenueDigestive Diseases · 2008
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBicucullineMedicineGABAergicHepatic encephalopathyGABAA receptorAminobutyric acidgamma-Aminobutyric acidInternal medicineHepatocyteEndocrinologyNeurotransmitterPharmacologyReceptorBiologyBiochemistryCirrhosis

Abstract

fetched live from OpenAlex

Gamma-aminobutyric acid (GABA) is a potent amino acid neurotransmitter with various physiologic effects throughout the body. Over the past 40 years it has become evident that the mammalian liver contains high concentrations of GABA which are carefully regulated by a series of hepatic metabolic pathways and a specific sodium-dependent active transport system. It is also clear that the liver possesses sodium-independent, bicuculline-sensitive GABAA receptor sites which when innervated cause marked hyperpolarization of the hepatocyte transmembrane potential. Recent data suggest that extensive hepatic injury alters GABA homeostatic mechanisms which in turn may contribute to the pathogenesis of hepatic encephalopathy and systemic hypotension. There is also reason to believe that increased GABAergic activity may inhibit hepatic regeneration following partial hepatectomy in rats.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.004

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 head0.055
GPT teacher head0.293
Teacher spread0.238 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations40
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueDigestive DiseasesSame topicGABA and Rice ResearchFrench-language works237,207