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Record W2092583574 · doi:10.2134/jeq2009.0003

Spatial and Seasonal Patterns of Benzene, Toluene, Ethylbenzene, and Xylenes in the Gdańsk, Poland and Surrounding Areas Determined Using Radiello Passive Samplers

2010· article· en· W2092583574 on OpenAlexaff
Bożena Zabiegała, Magdalena Urbanowicz, Jacek Namieśnik, Tadeusz Górecki

Bibliographic record

VenueJournal of Environmental Quality · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEthylbenzeneTolueneBenzeneEnvironmental chemistryEnvironmental scienceBTEXChemistryEnvironmental engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Atmospheric concentrations of benzene, toluene, ethylbenzene, and xylenes (BTEX) were assessed in the Gdańsk-Sopot-Gdynia Tricity area and in the city of Tczew using diffusive-type Radiello passive samplers. Samples were collected at the monitoring stations belonging to the Agency of Regional Air Quality Monitoring Foundation. The results indicated that the BTEX concentrations measured in the urban air in the Tricity area and in Tczew were dependent on the season, being somewhat higher in winter and spring than in summer. Maps of BTEX pollution in the Tricity and in Tczew were prepared by interpolating the results for the areas between the sampling points covering the mapped areas. This allowed the assessment of time-weighted average concentrations of the compounds studied at locations where measurements were not made.

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)0.002
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 score0.041
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.041
GPT teacher head0.314
Teacher spread0.273 · 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

Citations20
Published2010
Admission routes1
Has abstractyes

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