Bibliographic record
Abstract
Eighty-four PCB congeners in transformer oil produced in China were analyzed by gas chromatography mass spectrum (GC-MS) and the international toxicity equivalents (TEQ) indioxin-like PCBs found in Chinese transformer oil were also estimated. The major CB homologue in the total PCBs was Cl3-CB (63%) followed by Cl4-CB and Cl2-CB, accounted for 24% and 9% of ΣPCB, respectively. Low chlorinated biphenyls were the major components of the PCBs in transformer oil produced in China. PCBs in Chinese transformer oil contained 42.9% chlorine, similar to the Aroclor 1242 (contains 40%～42% chlorine). The concentrations of the 6 dioxin-like PCBs found in Chinese transformer oil were low, accounted for 1.6% of ΣPCB. The TEQ of the 6 dioxin-like PCBs was approximately 5.53 μg/mL which was 15% of those found in Aroclor 1242. Among the 6 dioxin-like PCBs, CB-77 had the highest TEQ value, which was 72% of total TEQ, and followed by CB-105 (15%) and the most toxic congener CB-126 (8%).
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".