[Reliability and validity of a newly developed tool to be used for the comprehensive geriatric assessment on community elderly].
Bibliographic record
Abstract
OBJECTIVE: To evaluate the reliability and validity of a comprehensive geriatric assessment tool set for community elderly. METHODS: A sample of 574 community elderly (231 males, 343 females) aged 60 to 94 years, were included in the study. Split-half reliability and Chronbach' s α coefficient were used to test the reliability, with Face validity tested by Delphi method. Construct validity was tested, using the Factor Reliability. RESULTS: The split-half reliability coefficient appeared as 0.706. The Chronbach' s α coefficient was 0.652 for the whole questionnaire. The authority coefficient was 0.876, and the Kendall coefficient was 0.408 (P<0.001). Six factors were identified through factor analysis and the factor loading matrix showed that the construct validity was good. CONCLUSION: The tool was recognized as a reliable and validated measure for the comprehensive assessment on community elderly.
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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 | 0.009 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".