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Record W1987121631 · doi:10.2217/rme.11.125

The UK Relative to Other Single Payer-Dominated Healthcare Markets for Regenerative Medicine Therapies

2012· article· en· W1987121631 on OpenAlexaboutno aff
James Rose, David Williams

Bibliographic record

VenueRegenerative Medicine · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
FundersEngineering and Physical Sciences Research CouncilNHS Blood and Transplant
KeywordsPaceHealth careIncentiveBusinessHealthcare deliveryRegenerative medicineHealthcare serviceMarketingIndustrial organizationEconomicsMarket economyEconomic growth

Abstract

fetched live from OpenAlex

The UK has for many years been considered by businesses, including those based in the UK, as at best a second market for the launch of innovative medical technology products. Historically, this has been attributed to the slow pace of adoption in its National Health Service (NHS). The NHS is perceived to be subject to cost containment, high levels of fragmentation and a lack of strategic incentives to resolve its key failings as a market. Canada and Sweden offer examples of different operating models of healthcare delivery in a single payer-dominated market, and as a consequence, have evolved with different market characteristics. Together, these economies represent an important subsection of healthcare markets that are predominantly publically funded. This report examines the barriers to market entry for regenerative medicine products in these economies and attempts to evaluate the upcoming UK healthcare reforms in terms of impact on the regenerative medicine industry sector.

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)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0060.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.001

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 head0.412
GPT teacher head0.456
Teacher spread0.044 · 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 designObservational
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

Citations3
Published2012
Admission routes1
Has abstractyes

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