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ANTIOXIDANT ROLE OF CHITOSAN IN A COOKED COD (<i>GADUS MORHUA</i>) MODEL SYSTEM

2002· article· en· W2059219229 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

VenueJournal of Food Lipids · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsGadusChemistryTBARSChitosanAntioxidantThiobarbituric acidFood sciencePeroxideFish <Actinopterygii>Peroxide valueLipid oxidationBiochemistryFisheryOrganic chemistryLipid peroxidation

Abstract

fetched live from OpenAlex

ABSTRACT Chitosan with different molecular weights (14, 57 and 360 cP apparent viscosity) was effective in controlling the oxidation of lipids of comminuted cod (Gadus morhua) following cooking. Both peroxide (PV) and 2‐thiobarbituric acid reactive substances (TBARS) values were reduced as a result of treatment of fish prior to cooking with 50, 100 and 200 ppm of 14, 57 and 360 cP chitosans. Inhibition of oxidation was concentration‐dependent and highest for the 14 cP chitosan.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.175

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 head0.033
GPT teacher head0.214
Teacher spread0.180 · 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