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Record W2605582220 · doi:10.21037/sci.2017.03.08

De-liver CLiPs and revitalize hepatocytes

2017· letter· en· W2605582220 on OpenAlexaff
Ali-Reza Sadri, Saeid Amini‐Nik

Bibliographic record

VenueStem Cell Investigation · 2017
Typeletter
Languageen
FieldMedicine
TopicLiver physiology and pathology
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsProgenitor cellLiver regenerationRegeneration (biology)HepatocyteReprogrammingBiologyHomeostasisCell biologyStem cellLiver injuryIn vivoProgenitorCancer researchPathologyCellIn vitroMedicineEndocrinologyBiochemistryGenetics

Abstract

fetched live from OpenAlex

The liver is a highly quiescent organ, which has made the existence of hepatic stem cells debatable (1). However, upon injury, the liver shows a remarkable regenerative capacity unmatched by most human organs (2,3). Recent findings shed new light on the origins of liver progenitor cells (LPCs) and source of new hepatocytes during homeostasis and repair. Numerous groups have found that mature hepatocytes (MHs) themselves are the source of hepatic progenitor cells that contribute to liver regeneration (4,5). These findings highlight the plasticity of hepatocytes and a potential target for cell-based therapy in patients with severe liver dysfunction. If hepatocytes have that capacity in vivo , reprogramming of MHs in vitro might be a step in attaining liver regeneration.

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)0.002
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0020.003
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 head0.047
GPT teacher head0.257
Teacher spread0.210 · 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
GenreCommentary

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

Citations2
Published2017
Admission routes1
Has abstractyes

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