Triple Isotopic Ratios to Characterize Atmospheric N Compounds in Alberta – Work in Progress
Bibliographic record
Abstract
Is it possible to recognize source types of emissions using isotopic ratios in reactive-nitrogen (Nr)-bearing air species collected several kilometers downwind from their sources? The δ 15 N values present the potential for fingerprinting sources of atmospheric Nr, whereas the δ 18 O and δ 17 O results may bring insights on transformation processes. Here we have sampled NH 4 + , NO x and HNO 3 , NO 3 − in areas downwind from six sources in Alberta, Canada: coal-fired power plants, beef/pork feedlots, an oil upgrader/refinery complex, chemical industries, gas compressors and city traffic. The samples were prepared using chemical conversion and thermal protocol to produce N 2 O, later analyzed to simultaneously obtain δ 15 N, δ 18 O and δ 17 O values using a gold-furnace pre-concentrator online with an IRMS. Integrating the data obtained so far will help evaluate the possibility of fingerprinting these Albertan sources and of inferring reactions affecting N-species along their transport trajectories.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".