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Record W7046522362

Direct nitrogen deposition. Revised January 2007

2007· other· en· W7046522362 on OpenAlexaboutno aff

Bibliographic record

VenueNERC Open Research Archive (Natural Environment Research Council) · 2007
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsDeposition (geology)Atmosphere (unit)Current (fluid)NitrogenReactive nitrogenRelation (database)
DOInot available

Abstract

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Report to CEMA (Alberta, Canada) \n \nThis report summarises the methods available for estimating the deposition of reactive (plant-available) nitrogen from the atmosphere, for comparison with Critical Loads, and as a means of assessing the environmental effects of the deposited nitrogen. \nSources of atmospheric reactive nitrogen (NR) and its transformations in the atmosphere are briefly summarised, leading to several possible deposition pathways, both wet and dry. The principles behind direct measurements of wet deposition are explained, along with some of the factors that must be considered to avoid artefacts. Continuous direct measurement of dry deposition (i.e. the turbulent transfer of material from the atmosphere to the ground) is possible with the current state-of-the-art, but is expensive because of the need for fast-response analyzers, operating at concentrations of ppb (parts in 109 by volume) or less. Operation of this type of equipment, and analysis of the resultant data, is not a routine monitoring tool, but a research activity leading to measurement-based estimates of the parameters needed to model dry deposition on temporal and spatial scales that are inaccessible by current measurement methods. However, long-term integrating techniques are becoming available for routine monitoring use. \nThe current available techniques are critically discussed, particularly in relation to practical deployment at a regional scale, with descriptions of what can be achieved using different techniques, and approximate estimates of the relative costs. A structured method for designing a possible monitoring network is described, listing the advantages and disadvantages of different approaches. Finally, a possible implementation plan is recommended, with an indication of costs. This would provide for a nested network across the oilsands region of Alberta comprising 20 sites; bulk wet deposition would be measured at all sites, air concentrations of major NR species at 10 of the sites, and long-term integrated flux measurements at 4 sites. The annual cost (excluding travel to sites for sampling) is estimated at $220,000. This would provide deposition estimates across the region to indicate whether or not Critical Loads for NR deposition are likely to be exceeded. Bibliographies for further reading and reference are provided for each section of the report.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.534
Threshold uncertainty score0.938

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.3510.135

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 head0.068
GPT teacher head0.338
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), not a consensus.

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
Published2007
Admission routes1
Has abstractyes

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