Nomenclature and general classification of antioxidant activity/capacity assays
Bibliographic record
Abstract
This chapter intends to find a way to reconcile the different views and provides a relatively simplified approach to the nomenclature and general classification of various antioxidant activity/capacity (AOA/TAC) assays currently in use for the assessment of AOA/TAC in diets and biological fluids. The concept of AOA/TAC may be traced back to its origin in chemistry and then its applications in food science, in biology and medicine, and in nutrition and epidemiology. Most of the current AOA/TAC assays are named based on the reactants, the reaction mechanism and/or the corresponding techniques; and the chapter summarizes these factors. An integrated approach to the existing complex classification systems is adopted to classify the existing AOA/TAC assays into the following five categories: hydrogen atom transfer (HAT)-based assays; single electron transfer (SET)-based assays; mixed-mode (HAT/SET) assays; in vivo antioxidant activity/capacity assays; and miscellaneous methods. The chapter tabulates this classification, and gives a brief explanation of these assays.
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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 | 0.001 | 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 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".