Arctic River Delta Experiment (ARDEX) water quality, 2004.
Bibliographic record
Abstract
The Arctic River Delta EXperiment (ARDEX) was a 2004 satellite program of the CASES (Canada Arctic Shelf Exchange Study) program designed to extend offshore measurements of CASES into the freshwater-saltwater transition zone of the Mackenzie River estuary and delta. The objectives of ARDEX were to evaluate the properties of dissolved organic matter (DOM) in the river and coastal waters, and the photochemical, geochemical and biological processes regulating DOM dynamics. This dataset was a portion of the ARDEX project investigating how general water quality, DOM, and nutrients changed across the freshwater-saltwater transition zone. We demonstrated that DOM character, nutrients, and general water quality changed considerably across the transition zone with implications for marine ecosystem health. Water sampling occurred during the 2004 summer from a coast guard vessel travelling north from Inuvik to the Beaufort Sea. This research was funded by the Natural Sciences and Engineering Research Council of Canada, with support from the Canada Research Chair Program, Polar Continental Shelf Project, and the Northern Scientific Training Program. We appreciate technical and logistical support from the Inuvik Research Center/Aurora Research Institute, Indigenous and Northern Affairs Canada, and Water Survey of Canada.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.008 |
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".