Dental Caries Diagnosis Calibration for Clinical Field Surveys
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
A method to calibrate examiners for field studies of dental caries was investigated. A total of 200 carious teeth were mounted in 40 plaster blocks so that 920 surfaces were available for examination with a curved probe, using WHO criteria. The results of two examinations of the teeth 1 week apart by 3 experienced and 4 new examiners and 1 year apart by two experienced examiners were compared. The intra-examiner and inter-examiner reproducibility was high for the experienced examiners; between experienced and new examiners the reproducibility fluctuated. Scanning electron microscopic examination of the tips of probes indicated that the sharpness was only slightly decreased within their usual frequency of use. The calibration system used is recommended for the training of examiners for dental caries field studies.
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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 | 0.002 |
| 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