Development and application of seasonal indices of coastal-zone eutrophication
Bibliographic record
Abstract
Abstract Ryan, S. A., Roff, J. C., and Yeats, P. A. 2008. Development and application of seasonal indices of coastal-zone eutrophication. – ICES Journal of Marine Science, 65: 1469–1474. Indices of coastal-zone eutrophication were developed based on combined values of nitrogen, phosphorus, and phytoplankton biomass (measured as Chl a). Measurements of nitrate, ammonia, phosphate, Chl a, and total phosphorous were taken at a series of inlets (bays and estuaries) along the Atlantic coast of Nova Scotia and the north shore of Prince Edward Island in summer 2006. Reference data from offshore sites and measured data are displayed on a N (nitrogen):P (phosphorus) nutrient–space diagram, which clearly indicates thresholds between impacted and unimpacted inlets. The problem of seasonal variability in nutrient levels and phytoplankton concentrations is accounted for by using an amalgamation of the Redfield nutrient ratios and the coastal carbon–Chl a ratio and allowing for sedimentary losses. This amalgamated ratio allows for the inverse seasonal relationship between labile nutrient levels and Chl a, permitting the collection, comparison, and interpretation of seasonally variable data. Measured concentrations of phosphate were adjusted from measured Chl a and were compared with measured levels of total phosphorous for the Nova Scotian sites to assess the accuracy of conversions. Given regional calibration, these indices should be applicable to all coastal waters.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".