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Record W7095488255

Journal of Neurology, Neurosurgery, and Psychiatry 1988;51:481-486 Pain intensity measurements in patients with acute pain receiving afferent stimulation

2016· article· en· W7095488255 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture, Design, and Social History
Canadian institutionsnot available
Fundersnot available
KeywordsVisual analogue scaleRating scaleMcGill Pain QuestionnairePain reliefAfferentIntensity (physics)
DOInot available

Abstract

fetched live from OpenAlex

SUMMARY Six different pain rating scales, including a "'pain relief scale", were compared in 80 patients suffering acute orofacial pain. Pain intensity measurements were made before and after a 30 min period of afferent stimulation (TENS/vibration and placebo). A good correlation was found between pain scores derived from the pain relief scale, visual analogue-, numerical- and graphic rating scales. The verbal rating scale did not perform well. The pain relief scale and the numerical rating scale are interesting alternatives to the established visual analogue scale. Different techniques for pain assessment have been developed, some attempting to reflect several aspects of the complex pain experience, such as the McGill Pain Questionnaire (MPQ). ' 2 As discussed recently3 it is important to define what dimensions of the pain experience are supposed to be rated by the patient, and later evaluated. The results may also be greatly influenced by the cause of the patients ' pain as seen in studies on pain of different aetiologies using the

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 score0.038
Threshold uncertainty score0.389

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 head0.024
GPT teacher head0.202
Teacher spread0.178 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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