6 themes described how women with early-stage breast cancer perceived and experienced treatment decision makingCommentary
Bibliographic record
Abstract
What are the processes or stages of treatment decision making (TDM) as perceived by women with early-stage breast cancer? Qualitative study. Teaching hospital and regional cancer centre in Ontario, Canada. Purposive sample of 21 women (age range 34–79 y), who had early-stage breast cancer, were referred for consultation about surgical or postsurgical systemic therapy options, and could speak and understand English. Treatment consultations with surgeons or medical oncologists were videotaped. In semistructured interviews 2 weeks after the treatment decision was made, women described how they made the decision and then watched tapes of their initial consultation. Tapes were stopped at predetermined times or spontaneously by participants when TDM appeared to be taking place, and women were asked to describe their thoughts at that time. Interviews were recorded and transcribed. Data were analysed thematically. 6 themes described women’s perceptions or experiences of TDM. (1) Before oncology consultations, women sought information about treatment options and resources from informal (family and friends) and formal …
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".