J Clin Exp Dent
Bibliographic record
Abstract
Background: Physical disability results in impaired mobility, leading to increased dependency on others and may also have a negative impact on ones general and oral health. Moreover, such individuals could be at a greater risk of being prone to chronic pain conditions. A person's ability to cope with pain is a consistent and one of the most important predictors of clinical outcome. Catastrophization is known to be a maladaptive coping behaviour that could negatively influence such outcomes. Material and Methods: A cross-sectional study was conducted among 229 physically disabled individuals at Home for Disabled, Bansilalpet, Secunderabad. Extent of Physical disability was measured using Barthel index of Activities of Daily Living (ADL), type and severity of dental pain was assessed using the short form McGill Pain Questionnaire and catastrophizing using the Pain Catastrophizing Scale (PCS). Dentition status and periodontal status were assessed using the World Health Organization assessment form. Results: <0.05) correlation with sensory pain(r=0.182), visual analog scale(r=0.168), pain severity(r=0.161) and DMFT (r=0.4). It had significant negative correlation with ADL and bleeding gums. Conclusions: Disability, Oral Health, Catastrophizing.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.112 | 0.073 |
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".