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Record W1833825342 · doi:10.1002/047167849x.bio070

Marine Mammal Oils

2005· other· en· W1833825342 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

VenueBailey's Industrial Oil and Fat Products · 2005
Typeother
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsBlubberMarine mammalPolyunsaturated fatty acidBiologyMarine fishFood scienceFish oilCoronary heart diseaseFish <Actinopterygii>ZoologyFisheryBiochemistryFatty acidMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Marine oils are obtained from the flesh of fatty fish, liver of lean white fish, and blubber of marine mammals. Although lipids from marine fish have been used as food and medicine, traditional uses of blubber lipids of marine mammals were mostly industrially oriented, except for Innus and Eskimos. Marine mammal oils were lubricants or “train” oils as well as fuel and used for lighting. However, recent research findings on the importance of long‐chain polyunsaturated fatty acids (LC PUFA) in human health have opened new channels for their value‐added use in food and pharmaceutical industries. During the last three decades, it has been established that Greenland Eskimos living on their traditional diet have a lower incidence of coronary heart disease than do Danes living on a western‐style diet. It has been recognized that polyunsaturated fatty acids could be useful in controlling serum triacylglycerols, but the fatty acids provided by the food industry were often of the ω6 family.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.048
GPT teacher head0.290
Teacher spread0.242 · 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