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Nitrite Level and Rehydration Capacity of Edible Bird’s Nest Heated at Commercial Sterilization Temperature

2023· article· en· W4385155185 on OpenAlexaboutno aff
Satya Fahriani, Hadri Latif, Herwin Pisestyani, Shuqi Zhang, S L Chen

Bibliographic record

VenueAdvances in Animal and Veterinary Sciences · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsnot available
Fundersnot available
KeywordsSterilization (economics)NitriteNest (protein structural motif)Environmental scienceToxicologyFood scienceBiologyEcologyBusinessBiochemistryNitrate

Abstract

fetched live from OpenAlex

E dible bird's nest (EBN) is a food commodity of animal origin with high economic value. Indonesia is the largest producer and exporter of EBN in the world, which produces 85% of EBN, followed by Malaysia at 13% and other countries, such as Thailand, Vietnam, the Philippines, and the People's Republic of China (PRC) According to Indonesian Quarantine Full Automation System (IQFAST) data for 2022, Indonesia exported 1502.289 tons of EBN to several main destination countries, like Hong Kong, the People's Republic of China, Vietnam, Malaysia, Singapore, the United States, Macau, Taiwan, Australia, and Canada. This number increased by 13.24% from 2021, which amounted to 1324.696 tons (IAQA, 2023).

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score0.242

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 head0.093
GPT teacher head0.339
Teacher spread0.246 · 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 designBench or experimental
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

Citations0
Published2023
Admission routes1
Has abstractyes

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