Bibliographic record
Abstract
This paper covers developments from International Embryo Technology Society (IETS) meetings over the past 50years. The IETS was officially 'born' at a meeting in Denver, Colorado on Sunday 26 May 1974. There have been 51 IETS meetings (the first was in May 1974), and the first conference at which papers were presented was in 1975. The name of the IETS was changed from International Embryo Transfer Society to International Embryo Technology Society in 2016. The annual IETS conferences are held once a year in January. Embryo technology advanced from the laborious and slow techniques of surgical recovery and transfer of bovine embryos to non-surgical recovery and transfer in many species. Cryopreservation of embryos was initially a slow process that met with only moderate technical success before the development of technology that resulted in high embryo survival rates. The polymerase chain reaction was used to determine the sex of embryos following laminar flow cytology, which came into use to separate X- and Y-bearing spermatozoa. IVF has grown to become widely used, and several factors make it more useful than superovulation and embryo recovery/transfer. Perhaps the most important tool of all was the system that allowed the genetic 'mapping' of the genomic sequence of Bos taurus cattle. Charting key DNA differences by scientists, 'haplotypes' are now used routinely to identify animals with desirable traits of economic importance, discover new genetic disorders, and track carrier status of genotyped animals. Future technology is discussed.
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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 | 0.015 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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".