Phenotypic Analysis of Human Embryonic Stem Cells
Bibliographic record
Abstract
Human embryonic stem cells (hESCs) are an important tool for the study of developmental biology and may one day serve as a source of cells for regenerative medicine. As no definitive assay for hESC pluripotency is available, surrogate assays that measure markers or properties that have been correlated with hESC developmental potential are used to measure the effects of test conditions on their propagation and differentiation. This unit presents a range of protocols, including visual inspection, flow cytometry, immunofluorescence, quantitative real-time reverse-transcriptase PCR, and a colony-forming assay, as tools to measure the undifferentiated hESC state. The authors discuss the advantages and limitations of the various protocols, and present expected results and discuss potential problems. The development of quantitative assays of hESC developmental potential are critical for our understanding of hESC biology.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".