Squalene in Nova Scotian Deep-Sea Sharks and in the Pacific Eulachon
Bibliographic record
Abstract
The occurrence of the hydrocarbon, squalene, in diverse marine organisms is notuncommon, but quantities of commercial interest are generally limited to the livers of a few members of the shark family. Nova Scotia shallow-water dogfish lack this component in their liver oil. An opportunity to compare several liver oils from deepwater exploratory catches, however, yielded diverse results, confirming its presence in deeper water species. A Pacific eulachon fish body oil rich in squalene was analysed also and the results were compared with the oils from deep sea sharks.Il n‘est pas rare de trouver l‘hydrocarbure squalène dans divers organismes marins, mais ce n‘est généralement que dans les foies de quelques membres de la famille des requins qu‘on le trouve en quantités d‘intérêt commercial. Cet hydrocarbure n‘est pas présent dans l‘huile de foie des aiguillats des eaux peu profondes de la Nouvelle-Écosse. Toutefois, les résultats divers d‘une comparaison de plusieurs huiles de foie de poissons provenant de prises exploratoires en eaux profondes confirment la présence de cet hydrocarbure dans des espèces vivant à de plus grandes profondeurs. De l‘huile de poisson riche en squalène qui provenait d‘un eulakane du Pacifique a également étéanalysée et comparée aux huiles des requins d‘eaux profondes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".