Awareness, experience, and knowledge of dentists towards dental practices in individuals with autism spectrum disorder
Bibliographic record
Abstract
Introduction: Autism spectrum disorder (ASD) is a neuro-developmental disorder characterized by persistent impairment in social communication and interaction, limited interest areas, and restricted and repetitive behaviors.Objectives: The aim of the present study was to evaluate the awareness, experience, and knowledge of dentists towards dental practices in individuals with ASD.Material and methods: An online questionnaire consisting of 22 questions and three parts was prepared.Part 1. Demographic characteristics; Part 2. Awareness and experience of dentists about dental practices in individuals with ASD; Part 3. Knowledge of dentists regarding dental practices in individuals with ASD.The questionnaire link was sent to 1,204 potential participants via e-mail.Data were compared using Mann-Whitney U test and Kruskal-Wallis test taking into account specialties and professional experience of participants.Results: In the study, 356 (29.6%) volunteer dentists, including female (n = 110, 30.9%) and male doctors (n = 246, 69.1%) participated.The mean age was 37.38 ± 9.726 years (range, 23-68 years).Of the participants, 52.2% reported that they have previously examined and/or treated an individual with ASD.Most of the participants (95.2%) stated that they were not aware of special arrangements made for individuals with ASD in dental clinic.Statistically significant differences were found between knowledge scores of dentists about dental practices in individuals with ASD, and specialization areas and professional experience of participants.Conclusions: It was found that dentists' awareness about dental practices in individuals with ASD was at very low level.The knowledge level of pediatric dentists regarding dental practices in individuals with ASD were better than the knowledge of general dentists and other specialists.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".