ARCTIC Antifreeze Proteins in the Arctic Shorthorn Sculpin (Myoxocephalus scorpius)
Bibliographic record
Abstract
ABSTRACT. The plasma of shorthorn sculpin caught at Grise Fiord (Southern Ellesmere Island, arctic Canada) during late August contained antifreeze proteins which were essentially identical, with respect to molecular weight, number of components and amino acid composition, to the antifreeze proteins found in Newfoundland populations of shorthorn sculpin. The concentration of antifreeze protein in the plasma of the arctic sculpins during the summer was similar to that observed in the plasma of Newfoundland sculpin during the winter. The results suggest that unlike their Newfoundland counterparts, the plasma of sculpin residing in the High Arctic contains high concentrations of antifreeze protein all year round. Key words: shorthorn sculpin, Myoxocephalus scorpius, antifreeze proteins RESUME. Le plasma de chaboisseaux a Cpines courtes captures a Grise Fjord (Territoire du Nord-Ouest) a la fin d'aoGt contenait des protCines resistantes au froid. Celles-ci etaient essentiellement identiques, en considerant le poids molkculaire, le nombre d'ClCments et la composition de I'acide aminee, aux protCines resistantes au froid trouvCes chez des populations de chaboisseaux 2 Cpines courtes de Terre-Neuve. La concentration de protCines rCsistantes au froid dans le plasma des chaboisseaux a Cpines courtes de I'Arctique durant I'ttC, Ctait similaire A celle observCe dans le plasma des chaboisseaux a Cpines courtes de Terre-Neuve durant I'hiver. Les rtsultats suggtrent que le plasma des chaboisseaux residant dans le Haut Arctique contient toute I'annte de plus hautes concentrations de proteines resistantes au froid. Traduit par Claude Rocheleau, ArkCos Inc., Montreal.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".