Number of the Most Abundant Sea Mammal Species in the Vicinities of the Antarctic Peninsula, Scotia Sea and Powell Basin Area
Bibliographic record
Abstract
Observations were conducted from the Research Vessel “Akademik Mstislav Keldysh” in the Drake Passage, vicinities of the Antarctic Peninsula, Scotia Sea and the northern part of the Weddel Sea during two voyages in January–early March 2020 (the vessel trip number 79) and during the single voyage in January–February 2022 (trip number 87). Data allow to evaluate the number of the most abundant sea mammals in the area near South Shetland Islands, Scotia Sea and Powell Basin. Observation area of 2022 in the Antarctic were located in about 150 km eastwards of the area of 2020. The area under survey of a little bit greater than 343 th. square km in January-February 2020 held approximately 1200 Humpback Whales (Megaptera novaeangliae) and 2800 Fin Whales (Balaenoptera physalus). In 2022 this area held approximately 2500 Fin Whales and again 1200 or more amount of Humpback Whales. Numbers of the Antarctic Fur Seals in each season here assessed approximately 2000-3000 animals. Type of distribution of these two whale species along the vessel track pointed on the absence of food competition either within or between these species during Antarctic summers of 2020 and 2022. It was possible to evaluate the total numbers of the Antarctic Fur Seal (Arctocephalus gazella), however this evaluation appeared to be less precise than the same ones for Humpback Whales and Fin Whales.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".