Dependence between the Photochemical Age of Light Aromatic Hydrocarbons and the Carbon Isotope Ratios of Atmospheric Nitrophenols
Bibliographic record
Abstract
Abstract. Concepts were developed to establish relationships between the stable carbon isotope ratios of nitrophenols in the atmosphere and photochemical processing of their precursors, light aromatic volatile organic compounds. The concepts are based on the assumption that nitrophenols are formed dominantly from the photo-oxidation of aromatic VOC. A mass balance model as well as various scenarios based on the proposed mechanism of nitrophenol formation were formulated and applied to derive the time integrated exposure of the precursors to processing by OH-radicals (∫[OH]dt) from ambient observations taken between 2009 and 2012 in Toronto, Canada. The mechanistic model included the possibility of isotopic fractionation during intermediate steps, rather than during the initial reaction step alone. This model included knowledge of kinetic isotope effects of the precursor VOC with the hydroxyl radical and their respective rate constants, as well as isotope ratio source signatures. While many of these values are known, there were some, such as the kinetic isotope effects of reactions of the intermediate compounds, which were unknown. These values were predicted based on basic principles and published laboratory measurements of normal kinetic carbon isotope effects and were applied to the mechanistic models. Due to uncertainty of the estimates based on general principles three scenarios were used with different values for isotope effect that were not known from laboratory studies. Comparison of the dependence between nitrophenol carbon isotope ratios and ∫[OH]dt with published results of laboratory studies and ambient observations was used to narrow the range of plausible scenarios of the mechanistic model and to eliminate the mass balance based model as useful formulation of a the dependence between nitrophenol carbon isotope ratios and ∫[OH]dt.
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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 | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".