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Inter species changes of lipid compositions in liver of shallow-water sharks from the Indian Ocean

2003· article· en· W2040505740 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFisheries Science · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsnot available
FundersHealth CanadaMinistry of Education, Culture, Sports, Science and Technology
KeywordsPalmitic acidCarcharhinusDocosahexaenoic acidBiologyFatty acidOleic acidSterolFood scienceZoologyFisheryPolyunsaturated fatty acidBiochemistryChemistryCholesterol

Abstract

fetched live from OpenAlex

The liver oils of five dominant shark species, Alopias superciliosus, Carcharhinus falciformis, C. longimanus, Prionace glauca, and Sphyrna lewini, in the Indian Ocean were studied for their lipid classes, fatty acid and triacylglycerol (TAG) molecular compositions, in order to understand and identify the inter species changes and possible utilization avenues. The livers showed 26.1-60.1% oil content regardless of the gender or species of shark. Triacylglycerol was the predominant lipid class (65.2-86.1%) in all species followed by sterol esters (2.9-12.7%), hydrocarbons (2.5-11.6%) and diacylglyceryl ethers (1.0-3.8%). The major fatty acid in total lipid and TAG was docosahexaenoic acid (C22:6n-3; DHA), which in male S. lewini was at remarkable levels (43.4%). The predominant fatty acid combinations of TAG molecules in all shark species were palmitic, DHA and oleic acids (PDO 12.5-19.9%), and palmitic, DHA and palmitic acids (PDP; 8.4-15.4%). Tridocosahexaenoin was found in considerable levels in S. lewini (male).

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

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 studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.013
GPT teacher head0.195
Teacher spread0.181 · 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