The DISCUSS Project: Induced Pluripotent Stem Cell Lines From Previously Collected Research Biospecimens and Informed Consent: Points to Consider
Bibliographic record
Abstract
Human somatic cell reprogramming is a leading technology for accelerating disease modeling and drug discovery. Research organizations are sponsoring initiatives to create libraries of induced pluripotent stem cell (iPSC) lines for broad distribution and application. Donor informed consent plays a critical role in supporting the ethical conduct of iPSC research. To date, our organizations have focused on informed consent considerations for somatic cell collection intended specifically for iPSC derivation and distribution. This article considers how somatic cells obtained under general (biomedical) research protocols can be used for iPSC derivation. We present draft Points to Consider regarding the use of human somatic cells for iPSC research. Our goal is to initiate a process designed to develop consensus for the use of previously collected specimens for iPSC research. We anticipate publishing final considerations in early 2014.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".