System‐Level Denitrification Measurement Based on Dissolved Gas Equilibration Theory and Membrane Inlet Mass Spectrometry
Bibliographic record
Abstract
Whole-system measurement of denitrification has advantages over other approaches including greater spatial and temporal integration of the system conditions. This chapter describes the methodology for measuring denitrification at the system scale through measurements of dissolved gas anomalies in the N2/Ar ratio, which have been corrected for atmospheric gas exchange using other added tracer gases such as propane or SF6. Tracer gases can be introduced directly to the system or by saturating water in containers and mixing this tracer gas saturated water into the system. Changes in tracer gas concentrations with time are used to determine reaeration rates for modeling Ar concentrations, which allow the determination of changes in N2 from high-resolution measurements of N2/Ar using membrane inlet mass spectrometry. Based on the need for accumulation of N2, this approach is ideally suited for systems that maximize denitrification and minimize turbulence leading to gas exchange, such as deeper, slowly flowing or stagnant systems.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".