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Record W7083875882

Lab-grown meat could be in restaurants in 3 years

2018· other· en· W7083875882 on OpenAlexaboutno aff

Bibliographic record

VenueInternet Archive (Internet Archive) · 2018
Typeother
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsnot available
Fundersnot available
KeywordsMeat packing industryQuarter (Canadian coin)Production (economics)RecipeWhite meat
DOInot available

Abstract

fetched live from OpenAlex

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.523
Threshold uncertainty score0.746

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4770.329

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.

Opus teacher head0.016
GPT teacher head0.235
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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