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Record W2086282994 · doi:10.1038/clpt.2011.37

Human Induced Pluripotent Stem Cells: The Past, Present, and Future

2011· review· en· W2086282994 on OpenAlexaff
Samer M. I. Hussein, Kristina Vintersten Nagy, András Nagy

Bibliographic record

VenueClinical Pharmacology & Therapeutics · 2011
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsUniversity of TorontoLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
Fundersnot available
KeywordsInduced pluripotent stem cellReprogrammingRegenerative medicineStem cellDrug discoverySomatic cellBiologyNeuroscienceEngineering ethicsEmbryonic stem cellCell biologyBioinformaticsCellEngineeringGenetics

Abstract

fetched live from OpenAlex

A major breakthrough in the past 5 years is the development of the ability to reprogram somatic cells to pluripotency. It has rejuvenated the field of stem cell research, providing regenerative medicine with new possibilities. In this paper, we discuss the progress made in the reprogramming field with focus on induction methodologies, the use of induced pluripotent stem cells (iPSCs) for drug discovery, and issues and precautions related to their use in regenerative medicine. Clinical Pharmacology & Therapeutics (2011) 89 5, 741–745. doi:10.1038/clpt.2011.37

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.932
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.002
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 head0.186
GPT teacher head0.448
Teacher spread0.263 · 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 teacher head, not a consensus.

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

Citations33
Published2011
Admission routes1
Has abstractyes

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