Using Mean Oxidation Number of Organic Carbons to Count Theoretical Chemical Oxygen Demand
Bibliographic record
Abstract
Chemical oxygen demand and mean oxidation number of organic carbons are two important concepts in redox chemistry. The former is used for counting pure or mixed organic matters in aqueous solution. The latter is a redox metric for water treatment, organic combustion, and anaerobic digestion. Currently the calculation of theoretical chemical oxygen demand of neutral organic matter is based on the number of moles of molecular oxygen (O2). However, the calculation of theoretical chemical oxygen demand of ionic organic matter has seldom been studied. The purpose of this article is to develop a simple mathematical equation for doing so by using mean oxidation number of organic carbons. To develop the equation, relationships among chemical oxygen demand, mean oxidation number of organic carbons, number of organic carbons, and formula mass of organic matter are identified. The mathematical equations for chemical oxygen demand, total organic carbon, and the ratio of chemical oxygen demand to total organic carbon are also established for any molecule(s).
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".