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Record W18800907 · doi:10.1089/jmf.2007.0573

Long term trend and source apportionment of ambient VOCs in Windsor

2013· article· en· W18800907 on OpenAlexfundno aff
Zhi Li

Bibliographic record

VenueJournal of Medicinal Food · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Windsor
KeywordsApportionmentTerm (time)Environmental scienceWindsor

Abstract

fetched live from OpenAlex

Ambient VOC concentrations measured at Windsor West Station from 2001 to 2009 were used for a VOC source apportionment study using Chemical Mass Balance model. The ranking of source contribution estimates was: "Vehicle Emission", "Commercial Natural Gas", "Industrial Refinery", "Liquefied Petroleum", "Coke Oven", "Architectural Coating", and "Biogenic Emission". From 2003 to 2009, PAMS measurements in Windsor decreased by approximately 37%. Source contribution reduction of "Vehicle Emission" accounted for 57.6% of total source contribution reduction. Source contribution reduction percentages of "Vehicle Emission", "Architectural Coating", and "Biogenic Emission" were above PAMS reduction percentage; however, source contribution reduction percentages of "Commercial Natural Gas", "Industrial Refinery", "Coke Oven", and "Liquefied Petroleum" were below it. From 2001 to 2009, a seasonal pattern of PAMS measurements with low level in winter and spring but high in summer and fall was observed in some years. A similar seasonal pattern of "Vehicle Emission" source contributions was also obeserved in most years.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.955
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.207
Teacher spread0.196 · 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.

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

Citations2
Published2013
Admission routes1
Has abstractyes

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