Analysis of Phosphorus Species in Water
Bibliographic record
Abstract
Abstract A limiting nutrient for aquatic ecosystems, the natural and anthropogenic sourced phosphorus is present in surface waters. Monitoring of phosphorus in water samples and reduction procedures were developed to minimize the occurrence of harmful algal blooms. Phosphate is the most common phosphorus species in water, being present in anionic form (inorganic phosphate) or attached to a carbon‐based molecule (organic phosphate). Although various methods have been developed for phosphate and total phosphorus analysis, the spectrophotometric and ion chromatographic methods remain the most frequently used. Other methods discussed are based on capillary electrophoresis, inductively coupled plasma coupled to atomic emission spectrometry, electrochemical, and nuclear magnetic resonance techniques. The simultaneous analysis of various phosphorus species was possible by coupling chromatographic separations with mass spectrometry, using either electrospray or inductively coupled plasma ionization.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.031 | 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; both teacher heads agree on what is shown here.
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".