BREAKDOWN OF HYDROGEN SULFIDE IN SEAWATER UNDER DIFFERENT RATIO OF DISSOLVED OXYGEN / HYDROGEN SULFIDE
Bibliographic record
Abstract
Breakdown of hydrogen sulfide (H 2 S) in seawater is highly dependent on both the concentration of dissolved H 2 S and dissolved oxygen (DO). A simple correlation was found in the H 2 S dissociation and ratio of [DO/H 2 S]. When the [DO/H 2 S] ratio is more than one, H 2 S breakdown rapidly, resulting in a short half-life of H 2 S in the seawater (in a time scale of minute). When the dissolved oxygen is not a limiting factor, H 2 S breakdown in a first order reaction. Nevertheless, when [DO/H 2 S] ratio is less than 1, H 2 S breakdown in the seawater becomes slower, resulting in a longer H 2 S half-life (in a time scale up to hours). In this case, the H 2 S breakdown in a pseudo-second order reaction. This pseudo-second order reaction is commonly reported by other investigators. This study also investigated the relation between the concentration of dissolved H 2 S and pH changes during H 2 S dissociation in the seawater. The pH is lowered with increasing concentration of initial H 2 S in the seawater but appears to reach an asymptotic low value of about 4 as the dissolved H 2 S approaches its saturation limit in the seawater at about 2,500 mg L -1 .
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".