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Record W3036437646 · doi:10.2217/nmt-2019-0030

Evaluation of Antecedent Behaviors of dementia-related Wandering in Community and Facility Settings

2020· article· en· W3036437646 on OpenAlexaff
NA Neubauer, Lili Liu

Bibliographic record

VenueNeurodegenerative Disease Management · 2020
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAntecedent (behavioral psychology)DementiaPsychologyMedicinePsychotherapistDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Aim: To understand antecedent behaviors to critical wandering among persons living with dementia in or outside of a facility. Materials & methods: Caregivers were asked to write down the type and number of antecedent behaviors they observed in persons with dementia that were about to critically wander for 2–4 weeks. Observations were made through a developed questionnaire. Results: Six antecedent behaviors were observed: stating intent to leave, door lingering/tampering, preparing to go outside, packing up belongings, calling to be picked up and draw to outside stimuli. Conclusion: Information from this study can be used in the education of wander-management strategy adoption among caregivers of persons with dementia at risk of getting lost.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.045
GPT teacher head0.328
Teacher spread0.283 · 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 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

Citations10
Published2020
Admission routes1
Has abstractyes

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