MétaCan
Menu
Back to cohort
Record W4213262841 · doi:10.1016/j.scr.2022.102711

Generation of three induced pluripotent stem cells lines from patients with esophageal atresia/tracheoesophageal fistula type C

2022· article· en· W4213262841 on OpenAlexafffund
Suleen Raad, Anu David, Wendy K. Chung, Christophe Fauré

Bibliographic record

VenueStem Cell Research · 2022
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentCentre de recherche du CHU Sainte-JustineNational Institutes of HealthCentre Hospitalier Universitaire de Québec
KeywordsTracheoesophageal fistulaBiologyAtresiaInduced pluripotent stem cellGerm layerForegutPeripheral blood mononuclear cellStem cellCellular differentiationCell typeReprogrammingEmbryonic stem cellCell biologyPathologyImmunologyCellAnatomyGeneGeneticsMedicine

Abstract

fetched live from OpenAlex

Esophageal atresia/tracheoesophageal fistula (EA/TEF) is the most common congenital anomaly of the upper gastrointestinal tract affecting 1 in 3,000 which could stem from a developmental anomaly of the foregut. The cause is not fully understood. We generated three iPSC cell lines using peripheral blood mononuclear cells (PBMCs) from EA/TEF type C patients. Pluripotency and trilineage differentiation capacity of these three iPSC cell lines were confirmed by gene and protein expression profiles and the differentiation ability into the three germ layers. The generated disease-specific cell lines could serve as a tool to investigate the mechanisms of EA/TEF and acquired associated diseases.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.105
GPT teacher head0.319
Teacher spread0.214 · 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

Citations2
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueStem Cell ResearchSame topicEsophageal and GI PathologyFrench-language works237,207