INTERNATIONAL COLUMN: Supportive care needs in predicting the quality of life among gynecological cancer patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Unmet supportive care needs have been shown to lower the quality of life of cancer patients, including those with gynecological cancer. Therefore, we examined how the unmet supportive care needs might predict the quality of life of gynecology cancer patients under-going therapy. We had a convenience sample of 153 patients from two major cancer hospitals in Jakarta, Indonesia, complete the SCNS-SF34 and EORTC QLQ-30. Analysis showed that unmet supportive care needs predict poorer quality of life (i.e., lower global health status and functional status, and more cancer-related symptoms). This study emphasizes the need for supportive care services in the areas of psychological, physical, and sexuality to be prioritized to improve the patients' quality of life.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it