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Record W1972696749 · doi:10.1136/bmj.g2628

More than a quarter of commissioners put NHS services out to tender for fear of legal action, survey says

2014· article· en· W1972696749 on OpenAlexaboutno aff
G. Iacobucci

Bibliographic record

VenueBMJ · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealth Services Management and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsProject commissioningQuarter (Canadian coin)Competition (biology)Social carePublishingLegal actionManagementPolitical scienceService (business)Action (physics)Aged carePublic relationsMedicineLawNursingBusinessHistoryMarketingEconomics

Abstract

fetched live from OpenAlex

More than a quarter of senior commissioning leaders in England say that their organisation has opened up NHS services to competition owing to fears of legal action, a new survey has found. A fifth of respondents to the poll by the Health Service Journal 1 said that their clinical commissioning group (CCG) had been formally challenged under new competition rules established by the Health and Social Care Act 2012, which came into force in April 2013. In a poll of senior board members from 93 commissioning groups 29% of 103 respondents said that their group had invited, or was currently inviting, competition for services “in cases where they would …

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)0.004
metaresearch head score (Gemma)0.017
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: none
Teacher disagreement score0.060
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0310.006

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 head0.135
GPT teacher head0.506
Teacher spread0.371 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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