The Fonthill Dental Surgery Complication Classification Scale
Bibliographic record
Abstract
Objectives: A lack of consensus on how to classify post-operative complications in dentistry limits the ability for comparison of outcomes among treatments and their primary providers. Therefore, the Fonthill Dental Surgery Complication Classification Scale has been proposed as a uniform reporting tool to allow for the standardized quality assessment of dental treatment. This instrument classifies negative outcomes arising after dental treatment and is based on the clinician and the clinician time required to resolve the complication in seven classes of increasing severity. Materials and Methods: The scale was evaluated in a cohort of 2,382 consecutive patients, of which 9% experienced a complication, the majority of which were Class I or Class II-resolved without intervention by the dental surgeon. Results: Four scenarios where interpretation of the scale was required are presented with an explanation of their complication class. Conclusions: This classification system will ultimately prove reliable in measuring clinician success rate and aiding in the decision-making process for patients, clinicians, and financial providers.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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 teacher head, 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".