Prevalence of Dental and Skeletal Malocclusions in Mesaticephalic and Dolichocephalic Dogs—a Retrospective Study (2015–2018)
Bibliographic record
Abstract
Medical records of dogs with dolico- or mesaticephalic conformation who were presented to a private veterinary referral dental practice with malocclusion of the deciduous or permanent dentition were retrospectively reviewed from a 3-year period (2015-2018). Records were evaluated to determine the type(s) of malocclusions and 198 dogs were evaluated with permanent malocclusions. Of the dogs with deciduous malocclusions, 45 (60%) had variations of a MAL1, 28 (38%) had a MAL2, 13 (17.6%) had a MAL3, and four (5.4%) had a MAL4, with 19 (26%) having more than one type of malocclusion. Poodles, Labrador Retrievers, and Cavalier King Charles Spaniels consisted of 37 (50%) of the dogs with deciduous malocclusions. Fifty-five (74%) dogs proceeded with interceptive orthodontics. Of the dogs with permanent malocclusions, 128 (65%) had a variant of a MAL1, 60 (30%) had a MAL2, 75 (38%) had a MAL3, and 11 (5.6%) had a MAL4, with a MAL1 occurring concurrently with 49 (82%) MAL2 cases. The most common type of MAL1 was linguoversion of one or both mandibular canine teeth in 92 (72%) dogs. The five most commonly affected breeds with permanent malocclusions were Poodles, Labrador Retrievers, Chihuahuas, Pit Bull Terriers, and Cavalier King Charles Spaniels. Overall, 39 (18%) dogs presented with malocclusions observed in this study were associated with the Poodle breed and 20 (9%) dogs were associated with the Labrador Retriever breed. This trend among Poodle mixes and Labrador Retrievers supports a familial pattern to malocclusions.
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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 | 0.000 | 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 | 0.001 |
| 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 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".