Sunnybrook facial grading system: Reliability and criteria for grading
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: In clinical research, which is distinctly quantitative and rigidly fixed to a written protocol, the need for precision is great, especially when multicenter trials are planned. The Sunnybrook Facial Grading System (SB) is a well-established tool for assessing facial movement outcomes; however, some ambiguities do arise. The purpose of this study was to construct specific grading criteria and to test the intra-rater and inter-rater reliability before and after the use of these criteria. The hypothesis was that even in naïve observers, specific criteria improve reliability. STUDY DESIGN: Prospective test of hypothesis. METHODS: Facial video recordings of 30 subjects with facial paralysis were randomly presented to two naïve raters in four trials; trials 1 and 2 using the SB system in the usual manner, and trials 3 and 4 using specific grading criteria for the SB system. RESULTS: The SB system was reliable, even with naïve raters, having an intraclass correlation coefficient (ICC) of 0.890 between raters; this was improved with the use of specific grading criteria to 0.927. Additionally, variability of the SB composite scores was greatest in the midrange of scores and was predominantly seen during voluntary movement of brow rising and lip puckering. CONCLUSIONS: To our knowledge, this is the first report of specific criteria for completing the SB system. It is also the first in-depth description of the location within the system in which the majority of variances occur.
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.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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