Decision-Making Process--Communicating Risk/Benefits: Is There an Ideal Technique?
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
During the last decade, there have been major advances in the treatment of early-stage breast cancer. The decisions a patient now must make concerning her treatment are often difficult and complex, e.g., mastectomy versus lumpectomy plus breast ra-diation therapy, adjuvant chemotherapy and/or hormonal therapy versus no further treatment, regional radiation therapy or no regional radiation therapy. In the past, physicians tended to make decisions for patients with little patient input. More recently, women have indicated the need for more information about their disease and a desire to be involved in decisions about their care (1). Degnar et al. (2) examined the preferences of 1012 women with breast cancer for participation in treatment decision making. Twenty-two percent of the women wanted to select their own cancer treatment (active role), 44 % wanted to select their treatment collaboratively with
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.002 | 0.007 |
| 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