An intervention to improve the interrater reliability of clinical EEG interpretations
Why this work is in the frame
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Bibliographic record
Abstract
Several studies have noted modest interrater reliability of clinical electroencephalogram (EEG) interpretations. Moreover, no study to date has investigated a means to improve the observed interrater agreement. The purpose of the present study was to examine (i). the interrater reliability of EEG interpretations among three raters (two psychiatrists and one pediatrician); and (ii). how to improve the reliability by establishing a consensus guideline for EEG interpretation. Three raters, two psychiatrists and a pediatrician, interpreted 100 consecutive EEG recorded at Tajimi General Hospital. After discussing the results of the first trial, the raters established a consensus guideline for EEG interpretation. They then interpreted 50 consecutive EEG recorded at Nagoya City University Hospital following this guideline. Kappa for global judgment of EEG abnormality in three grades (abnormal/borderline/normal) was 0.42 on the first and 0.63 on the second trial. Kappa significantly improved by using the guideline (P = 0.004). It is suggested that discussing and establishing the consensus guideline among the raters offers a feasible method to improve interrater reliability in clinical EEG interpretations.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it