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Querying Business Processes Under Models of Uncertainty.

2008· article· en· W20171450 on OpenAlexaboutno aff
Tova Milo

Bibliographic record

VenueArchives of Gerontology and Geriatrics · 2008
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Database Systems and Queries
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This study explored the association between vitamin D insufficiency and frailty syndrome defined by the Fried Frailty Index (FFI) and the Edmonton Frail Scale (EFS) in a northern Taiwan community. Data of 215 subjects participating in an integrated interventional trial involving community-dwelling older adults with a high frailty risk were analyzed. Subjects were first screened by telephone interview and then evaluated at a local hospital with questionnaires, physical performance tests, and serum 25(OH)D measurements. Of the 215 participants, 31% had 25(OH)D insufficiency (< 20 ng/ml). Frail subjects based on the FFI were older, had lower Mini-Mental Status Exam (MMSE) scores, Barthel Index (BI) scores, and 25(OH)D levels. Using the EFS, frailer cases were more likely to be female, have less education, higher comorbid conditions, lower MMSE scores, lower Barthel Index scores, and lower 25(OH)D levels. The associations between insufficient 25(OH)D status and both frailty scales were significant. After adjustment of variables, the odds ratio of 25(OH)D insufficiency was 10.74 (95% CI 2.60-44.31) for frail versus robust individuals. The prevalence of vitamin D insufficiency was high in this population. There was a strong association between vitamin D insufficiency and the FFI. Vitamin D measurements and supplements are suggested for high-risk older people.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.790
Threshold uncertainty score0.356

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.253
Teacher spread0.214 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2008
Admission routes1
Has abstractyes

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