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Record W4387015061 · doi:10.22533/at.ed.813392322091

EVALUATION OF FOUR DIETS IN AN EDIBLE CRICKET (ACHETA DOMESTICUS) PRODUCTION SYSTEM IN THE ANDEAN FOOTBALLS OF ECUADOR

2023· article· en· W4387015061 on OpenAlexaff
Vaca Mediavilla Leidy Marisol, Ríos Guayasamín Pedro

Bibliographic record

VenueInternational Journal of Biological and Natural Sciences · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPharmacological Effects and Assays
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAchetaCricketProduction (economics)BiologyFood scienceZoologyEconomics

Abstract

fetched live from OpenAlex

The current demand for food implies greater pressure on ecosystems, so it is necessary to find alternatives for animal production that require less use of natural resources.Insects are a viable alternative in this path.In Ecuador there is research on the production of Acheta domesticus, however, there is no information regarding diets that compare biomass gain with local resources.In this study, four diets (squash, cassava leaves, chicken feed, and a mixture of squash and cassava leaves) are evaluated in a completely randomized block design with 4 treatments and 3 repetitions to determine the increase in biomass, mortality, days to maturity, and crickets' length in the shortest time possible.Exclusive feeding with cassava leaves extended the life cycle by 26% compared to chicken feed.The chicken feed and the combination of cassava leaves and pumpkin, on average, showed the lowest mortality rates: 6.97%, 5.15%, respectively, as well as 27% more length.Demonstrating the possibility of obtaining better returns with local resources.

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 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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score0.207

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.107
GPT teacher head0.361
Teacher spread0.254 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2023
Admission routes1
Has abstractyes

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