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Record W2741078849 · doi:10.1016/j.archger.2017.07.027

Are frailty components associated with disability in specific activities of daily living in community-dwelling older adults? A multicenter Canadian study

2017· article· en· W2741078849 on OpenAlexafffundabout
Véronique Provencher, François Béland, Louise Demers, Johanne Desrosiers, Nathalie Bier, José Alberto Ávila‐Funes, C. Galand, Dominic Julien, John Fletcher, Lise Trottier, Benyahia Hami

Bibliographic record

VenueArchives of Gerontology and Geriatrics · 2017
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsHôpital Louis-H LafontaineInstitut Universitaire de Gériatrie de MontréalUniversité de MontréalInstitut Universitaire en Santé Mentale de QuébecMcGill UniversityUniversité de Sherbrooke
FundersCanadian Institutes of Health ResearchHealth Canada
KeywordsGerontologyActivities of daily livingMulticenter studyMedicineIndependent livingPhysical therapyInternal medicineRandomized controlled trial

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.008
Science and technology studies0.0070.002
Scholarly communication0.0030.001
Open science0.0040.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.294
Teacher spread0.249 · 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

Citations43
Published2017
Admission routes3
Has abstractno

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Same venueArchives of Gerontology and GeriatricsSame topicFrailty in Older AdultsFrench-language works237,207