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Record W2029926211 · doi:10.1007/s12015-011-9309-8

Erratum to: Induced Pluripotent Stem Cell Lines Derived from Equine Fibroblasts

2011· erratum· en· W2029926211 on OpenAlexaff
Kristina Vintersten Nagy, Hoon‐Ki Sung, Puzheng Zhang, Simon Laflamme, Patrick W. Vincent, Siamak Agha‐Mohammadi, Knut Woltjen, Claudio Monetti, Iacovos P. Michael, Lawrence C. Smith, András Nagy

Bibliographic record

VenueStem Cell Reviews and Reports · 2011
Typeerratum
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsUniversity of TorontoUniversité de MontréalLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
Fundersnot available
KeywordsInduced pluripotent stem cellStem cellCell biologyBiologyEmbryonic stem cellGenetics

Abstract

fetched live from OpenAlex

Erratum to: Stem Cell Rev and Rep DOI 10.1007/s12015-011-9239-5 Please note the correction to the above mentioned article: In the Materials and Methods section, the concentration of MEK inhibitor StemGent #PD0325901 was published as 0.5M. The correct concentration should be 0.5 M. We apologize for any confusion caused by this error.

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)0.002
metaresearch head score (Gemma)0.015
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: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0230.024

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 head0.274
Teacher spread0.228 · 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
GenreOther

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

Citations1
Published2011
Admission routes1
Has abstractyes

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