Development and Application of a Tool Designed to Evaluate Web Sites Providing Information on Alzheimer's Disease
Bibliographic record
Abstract
Informal carers of people with Alzheimer's disease require access to high-quality information, which may be available through the Internet. Tools that have been developed to evaluate the contents of health-related web sites tend to be generic and not specific for diseases or patient groups. The aim of this study was to develop a tool that was specifically designed to evaluate web sites that provide information about Alzheimer's disease for informal carers of people with the disease. The tool was used to evaluate a sample of 15 web sites. The results were compared with those obtained using four generic tools in an earlier study. Several web sites attained high scores using the specific tool, although almost half of the 15 web sites achieved scores of less than 50%. There was a poor correlation between the rankings obtained using the specific tool compared with the generic tool. Web sites generally scored lower using the specific tool compared with one of the generic tools. Further work is required to develop and evaluate the Alzheimer's disease web site evaluation tool to help improve the quality of information available to carers through the Internet.
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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 | 0.014 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".