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Record W1964679589 · doi:10.1021/jf062245m

Alaska Pink Salmon (<i>Oncorhynchus gorbuscha</i>) Spoilage and Ethanol Incidence in the Canned Product

2007· article· en· W1964679589 on OpenAlexaff
Jiraporn Chantarachoti, Alexandra Oliveira, Brian Himelbloom, Charles A. Crapo, David G. McLachlan

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsCanadian Food Inspection Agency
FundersU.S. Food and Drug Administration
KeywordsOncorhynchusFood spoilageFood scienceFisheryChemistryBiologyFish <Actinopterygii>Bacteria

Abstract

fetched live from OpenAlex

Ethanol was quantified in canned salmon produced from whole fish showing different stages of decomposition due to storage at 1 and 14 degrees C for up to 3 and 16 days, respectively. Ethanol incidence in the canned salmon was correlated to results from skin aerobic plate counts and sensory evaluations of the whole fish and with sensory evaluations of the canned product. Panelists rejected whole salmon after 3 and 12 days of storage at 14 and 1 degrees C, respectively. Skin aerobic plate counts reached 4.8 log CFU/cm2 when fish were rejected, regardless of storage temperature. Panelists rejected canned salmon produced with fish stored for a maximum of 2 and 16 days at 14 and 1 degrees C, respectively. Ethanol concentrations in the cans produced with fish stored at 14 degrees C correlated well with sensory evaluation results; however, ethanol concentrations in the cans produced with salmon stored at 1 degrees C did not agree with sensory results. A correlation could not be established between ethanol concentration in the canned product and microbial content of whole salmon.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.006
GPT teacher head0.194
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations5
Published2007
Admission routes1
Has abstractyes

Explore more

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