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Record W4213169374 · doi:10.2217/rme.15.71

Keynote Lectures

2015· article· en· W4213169374 on OpenAlexaff

Bibliographic record

VenueRegenerative Medicine · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsReprogrammingInduced pluripotent stem cellCell biologyChemistryBiologyCellGeneticsEmbryonic stem cellGene

Abstract

fetched live from OpenAlex

…a forum to address key advances and challenges in stem cells research and regenerative medicine…" Improved healthcare has resulted in dramatic demographic changes in developed countries, causing an increase in the prevalence of diseases associated with aging.Many significant human diseases arising from the loss or dysfunction of specific cell types in the body, such as Parkinson's disease, diabetes and cancer, are becoming increasingly common.Stem cell research and regenerative medicine offers unique opportunities for developing new therapeutic approaches to prevent and treat these debilitating and life-threatening diseases, and new ways to explore fundamental questions of biology.Gradually, the curative and regenerative potential that lies in harnessing stem cells and other regenerative strategies is being realized.Regenerative Medicine (ISSN: 1746-0751) provides a forum to address the important challenges and advances in stem cell research and regenerative medicine, delivering this essential information in concise, clear and attractive article formats -vital to an increasingly time-constrained community.Despite substantial developments in our knowledge and understanding of regenerative biology and stem cells, the field is in its infancy.The next few decades will unveil the true potential of this emerging specialty.Regenerative Medicine will provide a critical overview of these advances as they unfold and explore their potential relevance in the clinical setting.The journal covers emerging strategies to replace or regenerate human cells, tissues or organs to restore or establish normal function, including: Bench-to-bedside translation and scale-up of stem cell and regenerative medicine therapies Potential applications for stem cell-based strategies in pathological conditions Stem cell pluripotency and emerging technologies Tissue engineering and artificial organ development Medical device and artificial organ development Regulatory and reimbursement issues Ethical and legal perspectives Asia (excluding Korea, China & Japan) Roslinda M.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.724
Threshold uncertainty score0.922

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.2760.128

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 head0.050
GPT teacher head0.329
Teacher spread0.278 · 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.

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

Citations0
Published2015
Admission routes1
Has abstractyes

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