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Record W2892930424 · doi:10.1063/1.5055500

Potential of protein and lipid productions from black soldier fly larvae fed with mixture of waste coconut endosperm and soybean curd residue

2018· article· en· W2892930424 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

VenueAIP conference proceedings · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEndospermResidue (chemistry)Food wasteFood scienceChemistryFermentationSoybean mealRaw materialBiologyBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The prime objective of this study was to simultaneously enhance the lipid and protein yields from black soldier fly larvae (BSFL) fed with mixture of waste coconut endosperm and soybean curd residue. The waste coconut endosperm that loss nutrient content during milk extraction was fortified to increase the nutritive value via self-fermentation process within 4 weeks before mixing it with soybean curd residue. The following six feed mixtures of waste coconut endosperm: soybean curd residue (C:S) were formulated: 5:0, 4:l, 3:2, 2:3, l:4 and 0:5. The results showed peak lipid content was attained from 3:2 feed mixtures. Using this feed mixture mediums, the BSFL prepupae could accumulate 58% and 2l% of its biomass weight with lipid and protein respectively. Tn considering of organic waste treatment, 3:2 feed mixture showed an efficiency of conversion of digested food (ECD) of 0.20l. Therefore, mix ratio of 3:2 was concluded as an optimum to produce ideal mixture feed medium for BSFL in enhancing the simultaneous lipid and protein yields.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.011
GPT teacher head0.200
Teacher spread0.189 · 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