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Record W1664109887 · doi:10.1016/j.proeps.2015.07.075

Triple Isotopic Ratios to Characterize Atmospheric N Compounds in Alberta – Work in Progress

2015· article· en· W1664109887 on OpenAlexafffundabout
Martine M. Savard, Robert Vet, Anna Smirnoff, Amanda Cole

Bibliographic record

VenueProcedia Earth and Planetary Science · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsEnvironment and Climate Change CanadaCentre de Géomatique du QuébecGeological Survey of Canada
FundersNatural Resources Canada
KeywordsWork (physics)GeologyEnvironmental scienceEarth scienceEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.207
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes3
Has abstractyes

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