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Record W3043908308 · doi:10.1016/j.oneear.2020.06.005

A More Open Approach Is Needed to Develop Cell-Based Fish Technology: It Starts with Zebrafish

2020· article· en· W3043908308 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOne Earth · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsMcMaster UniversityWilfrid Laurier University
Fundersnot available
KeywordsBusinessResource (disambiguation)Fish stockFish <Actinopterygii>Natural resourceStock (firearms)Fish farmingAquacultureNatural resource economicsFisheryEnvironmental economicsComputer scienceEcologyBiologyEconomicsEngineering

Abstract

fetched live from OpenAlex

The global demand for fish is rising and projected to increase for years to come. However, there is uncertainty whether this increased demand can be met by the conventional approaches of capture fisheries and fish farming because of wild stock depletion, natural resource requirements, and environmental impact concerns. One proposed complementary solution is to manufacture the same meat directly from fish cells, as cell-based fish. More than 30 ventures are competing to commercialize cell-based meat broadly, but the field lacks a foundation of shared scientific knowledge, which threatens to delay progress. Here, we recommend taking a research-focused, more open and collaborative approach to cell-based fish meat development that targets lean fish and an unlikely but very attractive candidate for accelerating research and development, the zebrafish. Although substantial work lies ahead, cell-based meat technology could prove to be a more efficient, less resource-intensive method of producing lean fish meat. The global demand for fish is rising and projected to increase for years to come. However, there is uncertainty whether this increased demand can be met by the conventional approaches of capture fisheries and fish farming because of wild stock depletion, natural resource requirements, and environmental impact concerns. One proposed complementary solution is to manufacture the same meat directly from fish cells, as cell-based fish. More than 30 ventures are competing to commercialize cell-based meat broadly, but the field lacks a foundation of shared scientific knowledge, which threatens to delay progress. Here, we recommend taking a research-focused, more open and collaborative approach to cell-based fish meat development that targets lean fish and an unlikely but very attractive candidate for accelerating research and development, the zebrafish. Although substantial work lies ahead, cell-based meat technology could prove to be a more efficient, less resource-intensive method of producing lean fish meat.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.212
Teacher spread0.196 · 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