Low-Temperature Kinetics of the Reaction of the OH Radical with Hydrogen Peroxide
Bibliographic record
Abstract
The kinetics of the reaction of the OH radical with hydrogen peroxide, H 2 O 2, are studied over a temperature range of 96−296 K. The low-temperature environment is provided by a pulsed Laval nozzle supersonic expansion of nitrogen with admixed H 2 O 2 . Hydrogen peroxide serves as both the OH radical photolytic precursor ( λ = 248 nm) and a reactant. Laser-induced fluorescence of the OH radicals excited in the (1,0) band of the A 2 Σ + −X 2 Π i transition is used to monitor the kinetics of OH removal. The rate coefficient of the OH + H 2 O 2 reaction ( k 1 ) shows a negative temperature dependence within this temperature range, which can be expressed as k 1 = (6.8 ± 1.0) × 10 -13 exp[(285 ± 27)/ T ] cm 3 molecule -1 s -1 . The combined low- and high-temperature (literature) kinetic data form a U-shaped Arrhenius plot, which suggests that the reaction mechanism changes from direct abstraction (at high temperatures) to a mechanism involving formation of a hydrogen-bonded complex (at low temperatures). Atmospheric implications of the new low-temperature kinetic data are discussed.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | medium |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
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) | 0.002 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".