Information for Patients With or at Risk of Cancer-Related Lymphedema
Bibliographic record
Abstract
The Internet has great potential to provide information to patients with or at risk of developing cancer-related lymphedema (CRL), a complication of cancer treatment. To evaluate Web site structure (e.g., accreditation, design) and content (e.g., validity) for available Web sites on CRL, lymphedema, lymphoedema, cancer, and oncology were used with 10 search engines (five French and five English). The first page of each Web site was examined and the content was identified and classified using the evaluation model of the Science Panel on Interactive Communication and Health. The search strategy yielded 120 Web sites. Using inclusion and exclusion criteria, 19 Web sites were selected. The authors found that 79% of the Web sites focused exclusively on CRL and 74% were in English. Although information about each site's sponsor, goal, and target audience was readily available, content material was incomplete and evaluation of Web site impact and effectiveness was nonexistent. This review suggests that Web sites about CRL vary greatly in terms of structure and content.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 teacher head, 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".