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Quality changes of fish burgers prepared from deep flounder (<i>Pseudorhombus elevatus</i> Ogilby, 1912) with and without coating during frozen storage (−18 °C)

2010· article· en· W2059941569 on OpenAlexaff
Maryam Mahmoudzadeh, Abbasali Motallebi, Hedayat Hosseini, Ramin Khaksar, Hamed Ahmadi, Ehsan Jenab, Farzaneh Shahraz, Manijeh Kamran

Bibliographic record

VenueInternational Journal of Food Science & Technology · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsUniversity of Alberta
FundersNational Nutrition and Food Technology Research Institute
KeywordsThiobarbituric acidChemistryFish <Actinopterygii>Food scienceAnimal scienceFisheryBiologyBiochemistryAntioxidant

Abstract

fetched live from OpenAlex

Summary In the present study, chemical and sensory qualities of fish burgers prepared from deep flounder ( Pseudorhombus elevatus Ogilby, 1912) with and without coating (Group A and Group B, respectively) or batter and breading materials were determined during frozen storage at −18 °C for 5 months. According the statistical results, Total volatile base nitrogen of two groups increased significantly ( P &lt; 0.05) but a significant decrease ( P &lt; 0.05) was observed at the third month for Group A. Thiobarbituric acid value of Group A decreased significantly ( P &lt; 0.05) with the storage time from 1.01 to 0.22, whereas a significant increase ( P &lt; 0.05) was observed for Group B from 0.15 to 0.62 at the end of storage time. There were significant differences of pH in either the Group A or Group B between the beginning and end of the storage periods ( P &lt; 0.05). Parameters of colour, texture, taste and general acceptability for two groups decreased ( P &lt; 0.05) but Group B indicated better scores than Group A at the end of the storage period.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.338

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.029
GPT teacher head0.278
Teacher spread0.249 · 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

Citations27
Published2010
Admission routes1
Has abstractyes

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