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Record W2802904872 · doi:10.5206/uwomj.v87i1.1817

Management of fibromyalgia syndrome

2018· article· en· W2802904872 on OpenAlexvenueno aff
Joshua Lee, Stacey Guy, Michael J. Lukacs, Zoe A Letwin, Mohamad F Fakhereddin, Iyad Al-Nasri, Shahan Salim

Bibliographic record

VenueUniversity of Western Ontario Medical Journal · 2018
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsnot available
Fundersnot available
KeywordsFibromyalgiaAffect (linguistics)CognitionFibromyalgia syndromeQuality of life (healthcare)Chronic painChronic fatigue syndromeMedicinePsychologyPain managementCognitive behavioral therapyPhysical therapyClinical psychologyPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

Fibromyalgia syndrome is a chronic pain condition that affects 440,000 Canadians above the age of 12. People with fibromyalgia report lifelong biological, emotional, cognitive and social complications. Recent clinical practice guidelines indicate management of symptoms is limited outside of analgesics. Cognitive-behavioral therapy (CBT) is one emerging treatment that displays promise for these individuals. CBT helps individuals to realize their maladaptive thought processes and how these can affect their own emotional response as well as the significance they attribute to potentially noxious stimuli. In conjunction with a physical exercise program, CBT shows promise in both the management of pain, and an improvement of quality of life.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.997

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.223
Teacher spread0.207 · 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 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

Citations5
Published2018
Admission routes1
Has abstractyes

Explore more

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