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Headspace Volatiles of Sockeye and Pink Salmon as Affected by Retort Process

2000· article· en· W1969377245 on OpenAlex
Benôıt Girard, T.D. Durance

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

VenueJournal of Food Science · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsUniversity of British ColumbiaAgriculture and Agri-Food Canada
Fundersnot available
KeywordsRetortFlavorAromaChemistryFood scienceOlfactometryOrganic chemistry

Abstract

fetched live from OpenAlex

ABSTRACT: Sockeye and pink salmon were canned according to constant and variable temperature retort processes. A total of 102 volatile constituents were detected by gas chromatography‐mass spectrometry. Based on principal component analysis (PRIN) applied to the different classes of volatiles, PRIN1 explained 72.2% of variation and was significant (P < 0.0001) for species differentiation. PRIN2 and PRIN4 extracted smaller variations (14.5% and 3.1%, respectively) but were significant (P < 0.05 and P < 0.01, respectively) for differences in retort regimes. However, sensory panelists did not find flavor differences between retort modes. Olfactometry revealed that aldehydes, sulfurs, and ketones constituted the major volatile classes of aroma‐impact constituents in canned sockeye 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.

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)0.000
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 score0.417
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.021
GPT teacher head0.269
Teacher spread0.247 · 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