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Record W1999937627 · doi:10.1097/mlr.0b013e318184aa75

The Veterans Health Administration in the Context of Health Insurance Reform

2008· article· en· W1999937627 on OpenAlexafffundabout
Anne Sales

Bibliographic record

VenueMedical Care · 2008
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaU.S. Department of Defense
KeywordsContext (archaeology)Administration (probate law)Health careHealth insuranceNursingMedical educationPolitical scienceLibrary scienceMedicineGeography

Abstract

fetched live from OpenAlex

From the Canada Research Chair in Interdisciplinary Healthcare Teams, Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada. Supported from the Canadian Institutes for Health Research through their Canada Research Chairs Program. Reprints: Anne E. Sales, RN, PhD, Associate Professor, Canada Research Chair in Interdisciplinary Healthcare Teams, 3-114 Clinical Sciences Building, Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada T6G 2G3. E-mail: [email protected].

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.084
GPT teacher head0.457
Teacher spread0.373 · 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 teacher head, not a consensus.

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

Citations6
Published2008
Admission routes3
Has abstractyes

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