Pain Assessment Using Labeled Face Scale
Why this work is in the frame
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Bibliographic record
Abstract
The Face Scale consists of a set of 6 faces that vary in the level of overt distress expressed.Subjects choose 1 face from the series of pain-expressing faces that best represents the current status of their pain.However,it is an ordinal scale that does not ensure equivalence for the differences between faces.In this study,we conducted 2 experiments with the objective of evaluating the differences between faces and creating a pain scale that is easy to use in pain assessment.In experiment 1,the pain intensity evoked by 6 faces was measured using Scheffe’s method of paired comparisons,and each face was converted to a position within a 100-mm linear pain scale depending on the pain intensity.By doing this,we created a pain scale in the form of a Labeled Face Scale graduated at 0.00,10.02,18.61,40.31,62.22 and 100.00.In experiment 2,patients’pain was measured and compared using the Labeled Face Scale and a magnitude estimation method.Correlation analysis showed that there was a positive correlation between them (R2=0.8127)and Bland-Altman analysis showed that the majority of plots (94.4%) fell within the coefficient of repeatability (±2 SD).These results lead us to conclude that the Labeled Face Scale is a useful assessment tool for pain management.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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