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Record W2132351228 · doi:10.1177/1084822313495734

Pressure Ulcer Risk Assessment

2013· article· en· W2132351228 on OpenAlex
Ronald Kelly, Gloria Puurveen

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHome Health Care Management & Practice · 2013
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsUniversity of British ColumbiaFraser Health
Fundersnot available
KeywordsProxy (statistics)MedicineRisk assessmentScale (ratio)Nursing assessmentReceiver operating characteristicMEDLINEInternal medicineStatisticsComputer science

Abstract

fetched live from OpenAlex

This article is a report on a study to develop a pressure ulcer risk assessment scale for home care clients. Multiple linear regressions were used to model scores on the Braden assessment scale and subcales, using data from the Resident Assessment Instrument—Home Care (RAI-HC) assessment. In Phase 1, data from 510 home care clients who received both assessments within a 14-day period were used to develop the models. Suitable “proxy Braden” models were constructed for the Braden scale and all subscales except for the nutrition subscale. In Phase 2, receiver operating curves revealed the proxy Braden to be a significantly better predictor than the RAI-HC Pressure Ulcer Risk Scale (PURS) of pressure ulcer development in home care clients.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.006

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 head0.019
GPT teacher head0.429
Teacher spread0.410 · 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