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Record W2337317017

Macroecapsulation of Pancreatic Progenitors: A New Era in Diabetes Therapy?

2016· article· en· W2337317017 on OpenAlexaboutno aff
Gioia Petrighi Polidori

Bibliographic record

VenueJournal of Clinical Developmental Biology · 2016
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTransplantationIslet cell transplantationPancreas transplantationGlycemicIntensive care medicineDiabetes mellitusProgenitor cellIsletCell therapyImmunosuppressionInternal medicineSurgeryStem cellInsulinEndocrinologyKidney transplantationBiology
DOInot available

Abstract

fetched live from OpenAlex

The pioneering work on islet transplantation led by Dr. Ray Rajotte marked the beginning of an era: the Edmonton protocol. Between 2000 and 2012 approximately 750 successful islet transplantations have been performed worldwide and the Edmonton group has now achieved a 70% eight-year graft survival rate [1]. However, this approach still has several limitations, including lack of longterm glycemic control and insulin independence, reliance on pancreas donors, transplant rejection/immune response and long-term risks of immunosuppressive therapy. ViaCyte, Inc., a privately held regenerative medicine company based in San Diego, is now beginning a clinical trial that could possibly obviate all these concerns. ViaCyte is using a universal cell therapy approach based on transplantation and retention of encapsulated insulinproducing cells [2].

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.062
GPT teacher head0.370
Teacher spread0.308 · 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 designBench or experimental
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

Explore more

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