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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 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)0.023
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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.034
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0340.019
Insufficient payload (model declined to judge)0.0090.007

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 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
GenreCommentary

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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