Sustained Interaction: the New Normal for Stem Cell Repositories?
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
Stem cell repositories, similar to many areas in human scientific research, must balance the interests of the individuals who donate their time and samples to science with the interests of scientific progress. This article seeks to explore how sustained interaction with stem cell donors can advance key donor interests (autonomy and privacy) while also increasing the scientific utility of stem cell lines. The ability to trace stem cell lines to their respective donors - underpinned by robust informed consent - enables donors to gain access to information regarding research outcomes and the uses of their biological samples, while also supporting basic and clinical research by providing a means for quality and safety controls. Measures to recontact donors and also to enable donors to withdraw from research should be well designed to ensure donors' preferences are respected while mitigating negative consequences resulting from limited data availability or compromised sample quality. To guarantee the integrity of research while respecting donors' autonomy and preferences, stem cell repositories require a prospective approach to informed consent.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 0.001 |
| 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