Algal lipids in the Canadian arctic
Bibliographic record
Abstract
The sampling for this dataset took place during summer 2016 between July 29 and October 2. A total of 44 stations were sampled aboard the Canadian icebreaker CCGS Amundsen in different regions of the Canadian Arctic such as Baffin Bay, Nares Strait, Northwest passage, Beaufort Sea and Labrador Sea. At each station, 12L of water was collected at the surface and at the subsurface chlorophyll maximum in Niskin-type bottles mounted on a rosette sampler. A set of probes was used to measure the physico-chemical parameters of seawater. The pH of seawater was measured with a spectrophotometer, nutrient data were analyzed aboard from fresh samples, an aliquot was preserved in Lugol acid for taxonomic analysis and seawater filtration (3L) was conducted for further analyses of lipid contents. Phase separation methods with chloform:methanol:water was used for lipid extractions and lipid classes and fatty acid was determined using thin-layer chromatography and gas chromatography with flame ionization detection.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.018 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".