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Record W2897809235 · doi:10.1002/nau.24201

Is the strong desire to void a source of diverted attention in healthy adult volunteers?

2019· article· en· W2897809235 on OpenAlexaff
William Gibson, Rachael Morrison, Adrian Wagg, Kathleen F. Hunter

Bibliographic record

VenueNeurourology and Urodynamics · 2019
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDistractionMedicineLower urinary tract symptomsCognitionAudiologySensationPsychologyCognitive psychologyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

AIMS: The strong desire to void (SDV) induces changes in both cognition and gait. This may be due to the sensation of urinary urge acting as a source of diverted attention. This exploratory study examined the influence of SDV and a standardized distracting task on the performance of two measures of cognition, a simple reaction time (SRT) test and the trail making B test (TMT-B). METHODS: 18 volunteers, 8 male and 10 female, without lower urinary tract symptoms (LUTS) (mean age: 20.5, range: 20-47), performed a test of SRT and the TMT-B under three conditions; undistracted with an empty bladder, while experiencing SDV, and when performing a simultaneous distracting task, the auditory n back test. RESULTS: A statistically significant increase in SRT was found when experiencing SDV and when distracted compared with the undistracted, bladder empty condition. The time taken to compete the TMT-B significantly increased with distraction but was not affected by SDV. CONCLUSION: SDV induced a similar but smaller change in reaction time when compared with a distracting task, suggesting that SDV may act as a source of diverted attention in continent, healthy volunteers.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.335

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 head0.009
GPT teacher head0.255
Teacher spread0.246 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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