Canadian Pain Society Conference
Bibliographic record
Abstract
Learning Objectives: 1. Understanding the basic neurophysiological mechanisms of fibromyalgia.2. Recognizing the factors predisposing to chronic widespread pain.3. Being introduce to the factors implicated in the heterogeneity of fibromyalgic patients and their responses to treatment.BRIEF DESCRIPTION: Patients suffering from fibromyalgia present diffuse pain symptoms that are not characteristics of neurogenic pain.However, some neurophysiological mechanisms, such as a disturbance of endogenous pain modulation systems, may help understanding the mechanisms implicated.During this talk I will introduce some of our work on different factors that are affecting the efficacy of these endogenous pain modulation mechanisms and discuss how diffuse pain may result from a central imbalance in endogenous excitatory and inhibitory mechanisms.Recent data will be presented supporting our understanding of the neurophysiological mechanisms of diffuse pain in fibromyalgia with some references to the clinical signs observed in the fibromyalgia patients.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.477 | 0.158 |
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".