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Record W2254985152

Polycyclic aromatic hydrocarbons in air of Harbin City

2010· article· en· W2254985152 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChina Environmental Science · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsEnvironmental chemistryChemistryCoal combustion productsParticulatesCombustionCoalGas phaseParticle (ecology)Volume (thermodynamics)Persistent organic pollutantHydrocarbonEnvironmental scienceOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Air samples were collected using an improved high volume active air sampler in May 7 to 20,2008 in Harbin City.Concentrations of polycyclic aromatic hydrocarbons(PAHs) in both gas and particle phases were measured.Total PAHs concentration ranged from 8.1 to 37.2 ng/m3,with an average of 18.2 ng/m3 for all samples.Sources of PAHs were identified by diagnostic ratios of some individual PAHs,which indicated that the dominant source in Harbin was coal combustion.Lower ring PAHs dominated in the gas phase,while the major higher ring PAHs were adsorbed on particle phase.While good correlation was found between gas-particle partition coefficients of PAHs and the respective sub-cooled vapor pressures,non-equilibrium between gas and particle phases was obtained possibly due to the new produced PAHs from coal combustion in winter.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score1.000

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 studies0.0000.003
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.004
GPT teacher head0.208
Teacher spread0.204 · 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