Sources of γ-HCH in Chinese air at near-surface level and deposited to Chinese soil.
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it