Pain characterization in institutionalized elderly patients
Bibliographic record
Abstract
The aim of the present study was to identify the prevalence and characteristics of pain chronic in relation to qualitative aspects and location in elderly (65 the 104 old) institutionalized in Jequié, Bahia, Brazil. This is a descriptive exploratory study with a transversal design and quantitative approach. The instrument used consisted of: data identification; mini-mental examination; pain-related aspects; and the McGill Pain Questionnaire. Half of the subjects were women, with a pain prevalence of 73.3%, 30% of whom had experienced pain for 1 to 5 years, 25% for more than 5 years, 28.3% did not cite pain duration and 16.6% reported having had pain for less than 1 year. With respect to quantification of pain, the most cited was moderate (25.7%). Many of the elderly were in the age group of 60 to 69 years, most painful complaint lodged mild and moderate, and places most affected were, knees and lumbar spine.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".