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Record W3101204215 · doi:10.1136/ebnurs-2020-103323

Engaging in physical activity and reducing sedentariness may prevent lower urinary tract symptoms or their progression in men

2020· letter· en· W3101204215 on OpenAlexaff
Shaminder Singh, David J.T. Campbell

Bibliographic record

VenueEvidence-Based Nursing · 2020
Typeletter
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLower urinary tract symptomsUrinationMedicineUrinary systemIncidence (geometry)HyperplasiaUrologyUrethraInternal medicineProstate

Abstract

fetched live from OpenAlex

Commentary on: Mondul AM, Giovannucci E, Platz EA. A Prospective Study of Physical Activity, Sedentary Behaviour, and Incidence and Progression of Lower Urinary Tract Symptoms. J Gen Intern Med 2020;35(8):2281–8. Doi: 10.1007/s11606-020-05814-1 . Globally, one in four men experience benign prostatic hyperplasia (BPH) during their lifetime: non-cancerous overgrowth of tissue around the urethra constricting its opening and resulting in lower urinary tract symptoms (LUTS), such as increased urinary frequency, difficulty in voiding or incomplete urination.1 Incidence of LUTS increases with age, affecting over half of those over the age of 50 years.2 Extended sedentariness …

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.005
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 head0.069
GPT teacher head0.384
Teacher spread0.315 · 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.

Study designOther design
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
Published2020
Admission routes1
Has abstractyes

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