What Questions Do Families of Patients With Early-Stage Prostate Cancer Want Answered?
Bibliographic record
Abstract
The study was designed to determine the questions that family members of recently diagnosed early-stage prostate cancer patients want addressed and to compare their information priorities with the patient’s priorities. Surveys were distributed to families of 38 patients who had also been surveyed. Respondents judged the importance of each of 93 questions (essential/desired/no opinion/avoid). Twenty-two (58%) family members responded. Most respondents rated most questions as essential (mean: 51 of 93 questions); however, overall, agreement on question ratings was poor (mean agreement: 42.5%, kappa: 0.19). Agreement between a patient and his family member was only slightly better (mean: 56.4%). A core set of 29 questions was identified that most (> 67%) respondents agreed were essential. Although a core set of important questions could be identified, that core would not cover most family members’ essential information needs. The information priorities of the patient often differ from those of his family.
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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 | 0.006 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".