Estimated sea ice particulate organic carbon (iPOC) in the Arctic marine food web (1985-2019)
Bibliographic record
Abstract
This dataset is a synthesis of sea ice particulate organic carbon (iPOC) values that were estimated from previously published and new highly branched isoprenoid (HBI) lipid values in Arctic marine organisms. HBIs are produced by several sea ice and pelagic diatom species. Samples were collected for various projects from 1985 through 2019 from the Bering, Chukchi, Beaufort, and Barents Seas and from the Canadian Arctic Archipelago. This dataset includes iPOC values throughout the year (January to December) and was used to investigate year-round utilization of ice algal carbon throughout the marine food web. Multiple trophic levels are represented by benthic invertebrates, zooplankton, ice-associated invertebrates, fish, seabirds and marine mammals.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".