Lab-grown meat could be in restaurants in 3 years
Bibliographic record
Abstract
A Dutch company that presented the worldâs first lab-grown beef burger five years ago said Tuesday it has received funding to pursue its plans to make and sell artificially grown meat to restaurants from 2021. Artificial meat could be coming to a restaurant near you by 2021.A Dutch company that presented the worldâs first lab-grown beef burger five years ago says it'll sell artificially grown meat to restaurants in three years.Mosa Meat has raised $8.8 million toward their plan to start industrial-scale production of a hamburger patty that would cost about $1.Environmentalists have warned that the worldâs growing appetite for meat isnât sustainable.The big challenge is making meat that looks, feels and tastes like the real thing. Mosa Meat uses a small sample of cells taken from a live animal. The cells are fed with nutrients so that they grow into strands of muscle tissue. The company claims it could make up to 80,000 quarter pounders from a single sample.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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; both teacher heads agree on what is shown here.
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".