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Editorial comment: Cross-cultural adaptation and validation of the neurogenic bladder symptom score questionnaire for brazilian portuguese

2019· editorial· en· W2953758629 on OpenAlexaff
Blayne Welk

Bibliographic record

VenueInternational braz j urol · 2019
Typeeditorial
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicinePortugueseAdaptation (eye)Brazilian PortuguesePhysical therapyNeuroscience

Abstract

fetched live from OpenAlex

Twenty-firstst century medicine emphasizes a patient centered approach with shared decision making. As part of this process, being aware of the patient's quality of life (QoL) is essential when making decisions about their medical care. However, QoL is an abstract concept which is difficult to measure objectively. Just as tools such as urodynamics are developed to measure physiological parameters in the human body, patient reported outcome measures (PROM) are developed to quantify abstract concepts such as QoL and symptom burden. These tools allow researchers to measure the patient's perception of their QoL or symptom burden. Specialized PROMs are often developed to be able to assess a very specific aspect of a patient's life, and ideally they undergo a rigorous qualitative and quantitive process to ensure they are valid.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.093
Threshold uncertainty score0.888

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 integrity0.0010.001
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 head0.021
GPT teacher head0.345
Teacher spread0.323 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2019
Admission routes1
Has abstractyes

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