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Record W1428898108

Sources of γ-HCH in Chinese air at near-surface level and deposited to Chinese soil.

2009· article· en· W1428898108 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 · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsChinaDeposition (geology)Environmental sciencePhysical geographyGeographySoil waterChineHydrology (agriculture)Environmental protectionGeologySoil scienceStructural basinArchaeologyGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

CanMETOP model was employed to assess the contributions to γ-HCH in Chinese air and soil from four major γ-HCH residual regions, including India, the former Soviet Union (FSU), Europe (excluding the FSU),and China itself in 2005. Modeled annual average air concentrations of γ-HCH at 1.5 m height above ground surface ranged for 10~100 pg/m3 in eastern region, and 1~10 pg/m3 in western region of China. The former was mainly due to Chinese source (30%~80%), while the major of the later was attributable to Indian source ( 50%). The European and FSU sources both mostly contributed to the Chinese northwestern region (10%). The contributions of deposition in China were also different in different area. Chinese source dominated the deposition of γ-HCH in the northeastern area (75%), while Indian source made the largest contribution in northwestern (63%) and southern (67%) areas of China. For whole China, annual total deposition of γ-HCH in 2005 was 691 t, among which, 55.1% was from India, 31.6% was from China, 3.6% was from Europe, and 2.5% was from the FSU.

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)0.000
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 score0.426
Threshold uncertainty score0.900

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.004
GPT teacher head0.193
Teacher spread0.189 · 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