OMICS in assisted reproduction: possibilities and pitfalls
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
A key step in assisted reproduction is the assessment of oocyte and embryo developmental potential in order to determine the embryo(s) most likely to result in pregnancy. Currently used embryo assessment strategies are largely based on embryo morphology and cleavage rate. Although these systems have been successful in improving pregnancy rates and reducing multiple gestations, their precision is still insufficient. Therefore, development of an objective, accurate, fast and affordable test that can aid in the assessment of oocyte and embryo developmental potential is a significant aim of reproductive medicine. Recently, global assessment strategies involving genomic, transcriptomic, proteomic or metabolomic profiling of oocytes, granulosa or cumulus cells, embryos or culture media have been applied to assisted reproduction. These technologies are at different stages of development and present unique advantages as well as limitations.
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 | 0.002 | 0.001 |
| 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 | 0.002 |
| 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