Length, weight and abundance data of fish species captured in RMT-25 net surveys in the Scotia Sea, Southern Ocean in 2006, 2008, and 2009
Bibliographic record
Abstract
This dataset compiles fish length and weight measurements from the RMT-25 net hauls carried out on Discovery 2010 cruises (JR161, JR177, JR200) in the Scotia Sea, Southern Ocean in spring 2006, summer 2008, and autumn 2009. The dataset comprises of the station net hauls only. Research cruises were led by British Antarctic Survey aboard the RRS James Clark Ross. Net hauls were conducted along a transect from the Antarctic Polar Front to the sea ice zone in the Scotia Sea. Hauls included in this dataset are depth stratified (1000-700 m, 700-400 m, 400-200 m, 200m to surface). Individual fish lengths, and weights were measured on board. Where weights were not measured, length-weight regressions have been used to estimate fish weight. This data set accompanies the paper by Belcher et al. in Marine Ecology Progress Series, titled, Respiration rates and active carbon flux of mesopelagic fishes (Family Myctophidae) in the Scotia Sea, Southern Ocean.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.012 |
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".