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Record W4235863436 · doi:10.4324/9781003063865-3

Fibromyalgia Syndrome: Canadian Clinical Working Case Definition, Diagnostic and Treatment Protocols–A Consensus Document

2020· book-chapter· en· W4235863436 on OpenAlexaboutno aff
Anil Jain, Bruce M. Carruthers, Maijorie I. van de Sande, Stephen R. Barron, C. C. Stuart Donaldson, James V. Dunne, Emerson Gingrich, Dan S. Heffez, Y.-K. Frances Leung, Daniel G. Malone, Thomas J. Romano, I. Jon Russell, David Saul, Donald G. Seibel

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsnot available
Fundersnot available
KeywordsFibromyalgiaConsensus conferenceMedicinePhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Fibromyalgia syndrome [FMS] is a chronic disorder which has been defined by a history of widespread pain and the presence of marked tenderness to palpation at standard anatomically-defined tender points. As the ACR definition was primarily created to standardize research, there has been a growing demand within the medical community for a clinical definition, which would be of benefit to the treating clinician. The authors&s; strategy for the clinical definition is to provide a flexible framework that includes the ACR criteria and encompasses more of the potential symptomatic expression of patients within the context of FMS. Grouping symptoms by shared regions of pathogenesis will enhance clarity and focus to the clinical meeting. The FMS is properly classified as one of a large group of softtissue pain syndromes. Some authors and many clinicians have improperly referred to this category of disorders generically as “myofascial pain disorders” but that confuses the issue with regard to a distinct disorder called “myofascial pain syndrome.”.

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)0.018
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.456
Threshold uncertainty score0.918

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0090.008
Science and technology studies0.0040.003
Scholarly communication0.0040.003
Open science0.0070.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0170.010

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 head0.108
GPT teacher head0.345
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2020
Admission routes1
Has abstractyes

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Same topicFibromyalgia and Chronic Fatigue Syndrome ResearchFrench-language works237,207