Inter-rater reliability of the Quebec Task Force classification system for recent-onset Whiplash Associated Disorders.
Bibliographic record
Abstract
PURPOSE: The inter-rater reliability of the Quebec Task Force (QTF) classification system for Whiplash-Associated Disorders (WAD) remains unknown. Our objective was to determine the inter-rater reliability of the WAD classification between an experienced chiropractic clinician and two chiropractic residents. METHODS: We conducted an inter-rater reliability study using baseline clinical data from 80 participants assessed for inclusion in a randomized clinical trial of the conservative management of WAD grades I and II. We reported reliability using Cohen's kappa (k) and 95% confidence intervals (CI). RESULTS: The mean duration of WAD symptoms was 7.6 days (s.d.=5.2). In our study, the interrater reliability of the WAD grade classification varied from k=0.04 (95% CI -0.04 to 0.12) to k=0.80 (95% CI 0.67 to 0.94). CONCLUSION: Inter-rater reliability of the WAD classification varied greatly across raters and may be associated with the experience of the raters and with their understanding of the criteria. Our results suggest that clinicians may benefit from training to standardize how they classify WAD. Furthermore, our results need to be tested in a different sample of patients and with a range of clinicians from different clinical disciplines.
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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 | 0.078 | 0.119 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".