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Record W2193876302 · doi:10.3920/jiff2015.0098

Protecting the environment through insect farming as a means to produce protein for use as livestock, poultry, and aquaculture feed

2015· article· en· W2193876302 on OpenAlexaff
Jeffery K. Tomberlin, A. van Huis, M. Eric Benbow, Heather R. Jordan, Dewi Apri Astuti, Domenico Azzollini, Ian J. Banks, V. Bava, Christian Borgemeister, Jonathan A. Cammack, Robert S. Chapkin, Helena Čičková, Tawni L. Crippen, Andrew Day, Marcel Dicke, Deborah Drew, Cristian Emhart, M. Epstein, Mark D. Finke, Christian Holst Fischer, Delbert M. Gatlin, Nils Th. Grabowski, Chao He, Lars-Henrik Lau Heckman, Aline Hubert, Janette L. Jacobs, J. Josephs, Samir Kumar Khanal, J.-F. Kleinfinger, Günter Klein, Cheryl Leach, Y. Liu, G. L. Newton, Robert Olivier, Jennifer L. Pechal, Christine J. Picard, Santos Rojo, Alessandra Roncarati, Craig Sheppard, Aaron M. Tarone, Bart Verstappen, A. Vickerson, Huan Yang, Alan L. Yen, Ziquan Yu, J. Zhang, Longyu Zheng

Bibliographic record

VenueJournal of Insects as Food and Feed · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsTransCanada (Canada)
Fundersnot available
KeywordsHermetia illucensLivestockAquacultureAgricultureBusinessAgroforestryNatural resource economicsFisheryBiologyGeographyEcologyFish <Actinopterygii>LarvaEconomics

Abstract

fetched live from OpenAlex

Securing protein for the approximate 10 billion humans expected to inhabit our planet by 2050 is a major priority for the global community. Evidence has accrued over the past 30 years that strongly supports and justifies the sustainable use of insects as a means to produce protein products as feed for pets, livestock, poultry, and aquacultured species. Researchers and entrepreneurs affiliated with universities and industries, respectively, from 18 nations distributed across North and South America, Europe, Asia, Africa and Australia contributed to the development of this article, which is an indication of the global interest on this topic. A brief overview of insects as feed for the aquaculture industry along with a review of the black soldier fly, Hermetia illucens (Diptera: Stratiomyidae), as a model for such systems is provided.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.058
GPT teacher head0.250
Teacher spread0.193 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations53
Published2015
Admission routes1
Has abstractyes

Explore more

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