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Acceptability and Shelf-life Testing of Newly Formulated Crab Balls from Blue Swimming Crab (Portunus pelagicus)

2022· article· en· W4303928105 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

VenueAkademik Gıda · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsPortunus pelagicusFisheryChewinessShrimpSquidFlavorShelf lifeDecapodaFood scienceMathematicsBiologyCrustacean

Abstract

fetched live from OpenAlex

Meatballs made from fishery products such as fish, shrimp, and squid are among the popular street foods in Asia. To meet the increasing demand for these street foods, there is a need to develop/formulate new balls out of fishery products. Hence, in this study, crab balls from blue swimming crabs (Portunus pelagicus) were formulated and standardized using three formulations (meat and binder ratio): Formulation A (50:50), Formulation B (60:40), and Formulation C (70:30). Sensory attributes such as flavor, color, texture (juiciness and chewiness), and general acceptability of the three formulations were evaluated by sensory panelists. Selected formulation was further analyzed in terms of shelf-life testing and comparison with the existing commercial squid ball. Consumer testing was also done to determine the feasibility of the formulated crab ball. Results revealed that Formulations B and C received the highest overall score of sensory attributes (p

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)0.001
metaresearch head score (Gemma)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0030.000

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 head0.071
GPT teacher head0.259
Teacher spread0.188 · 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