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Record W1529555889 · doi:10.5214/ans.0972.7531.1017402

Stem cell entrepreneurship-trends and advances-II

2010· article· en· W1529555889 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnnals of Neurosciences · 2010
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipComputer scienceData scienceStem cellComputational biologyBioinformaticsMedicineEngineering ethicsBiologyPolitical scienceEngineeringCell biology

Abstract

fetched live from OpenAlex

Stem cell research market in the world has grown exponentially over the last decade and in India the total investment is estimated to be about $540 million in 2010 with an annual growth rate of 15%.1 From just a few Institutes in India two years back, today over 30 institutions are involved in stem cell research with the Indian government investing around $8 million dollars in just the last two years. What is the ultimate goal of Stem Cell research? Today, the ultimate aim of scientists is to be able to build tissues or organs that can replace injured or diseased tissues in the human body. This concept which gives rise to the generation of mature tissues has made adult stem cells the focus of intense research, designed to treat a variety of human diseases. In the clinical scenario, stem cells are expected to be transplanted into the damaged area and then grow to a new, healthy tissue. Considering the immense interest worldwide, it comes as no surprise that the global market for stem cell therapy is around $20 billion in 2010, as per a Frost & Sullivan study. There are almost 180 prominent companies working on stem cell research in the world, majority of which are based in the US, followed by the EU, Israel, Thailand, Canada, and Australia. India and China are poised to play a key role in the scientific, clinical and commercial development of stem cell research. The high patient demand, vibrant pharmaceutical or biotechnological companies, a large intellectual pool of scientific talent and a mature information technology industry have together converted this sub-continent into a big platform for research and clinical translation. The early starters include National Centre For Cell Sciences (Pune), the Indian Institute of Sciences (Bangalore), Post Graduate Institute of Medical Education Reaserch (PGI) and All Indian Institute of Medical Sciences (AIIMS) with central focus on adult stem cells and cord derived stem cells.

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.

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 score0.173
Threshold uncertainty score0.319

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.305
Teacher spread0.275 · 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