Adjudication of Fibromyalgia Syndrome: Challenges in the Medicolegal Arena
Bibliographic record
Abstract
The medicolegal challenges surrounding fibromyalgia (FM) arise from the subjectivity of symptoms, causal attribution and reported symptoms sufficiently severe to cause disablement. In the present article, the authors have endeavoured to provide clarification of some current issues by referencing the current literature, including the 2012 Canadian Fibromyalgia Guidelines. While FM is accepted as a valid condition, its diagnosis is vulnerable to misuse due to the subjectivity of symptoms. Without a defining cause, a physical or psychological event may be alleged to trigger FM, but adjudication of causation must be prudent. Although some individuals may experience severe symptoms, the prevalent societal concept of disablement due to FM must be tempered with the knowledge that working contributes to psychosocial wellbeing. Evidence provided in the present report may assist the courts in reaching decisions concerning FM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.385 | 0.521 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".