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Record W3197249571 · doi:10.1016/j.stem.2021.08.001

Microvessels support engraftment and functionality of human islets and hESC-derived pancreatic progenitors in diabetes models

2021· article· en· W3197249571 on OpenAlex
Yasaman Aghazadeh, Frankie Poon, Farida Sarangi, Frances Wong, Safwat T. Khan, Xuetao Sun, Rupal Hatkar, Brian Cox, Sara S. Nunes, M. Cristina Nostro

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCell stem cell · 2021
Typearticle
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsHeart and Stroke FoundationToronto Rehabilitation InstituteUniversity of TorontoToronto General HospitalUniversity Health Network
FundersCanadian Institutes of Health ResearchOntario Institute for Regenerative MedicineUniversity of TorontoCanada First Research Excellence FundOntario Ministry of Research, Innovation and ScienceJuvenile Diabetes Research Foundation United States of AmericaJuvenile Diabetes Research Foundation CanadaCanada Research ChairsR. Howard Webster FoundationNatural Sciences and Engineering Research Council of CanadaToronto General and Western Hospital Foundation
KeywordsIsletEmbryonic stem cellBiologyProgenitor cellEconomic shortageTransplantationImmunosuppressionPancreatic isletsType 1 diabetesDiabetes mellitusRegenerative medicinePancreasStem cellImmunologyInternal medicineEndocrinologyCell biologyMedicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.674

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 communication0.0000.000
Open science0.0000.000
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 head0.019
GPT teacher head0.229
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