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
PURPOSE OF REVIEW: Cancer pain remains inadequately treated, despite internationally accepted management guidelines and a myriad of treatment options. Risk factors for undertreatment are reviewed, along with possible explanations. Recent studies documenting the scope of the problem as well as investigating solutions are discussed with clinical-practice recommendations outlined. RECENT FINDINGS: Women over 65 years of age representative of a cultural minority, with earlier stage disease, cared for at home, and with high-school education or less are at highest risk of having uncontrolled cancer pain. Optimal treatment is impeded by patients' maladaptive beliefs, nonadherence, underreporting or miscommunication with caregivers; from a healthcare provider perspective, it may be due to inadequate assessment, documentation, knowledge, and communication. Emerging data support the vital influence of lay caregivers on appropriate pain management. Although home-education programs may decrease pain and improve quality of life, there are also less intensive approaches deliverable by individuals to holistically address pain. SUMMARY: Prospective study of barriers to both delivery and receipt of adequate pain management is needed, as the majority of published literature is based on survey studies. Treatment must be individualized based on clinical circumstances and patient wishes, with the goal of maximizing function and quality of life.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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