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Record W2350969167

Characteristics of PCB congeners and homologues in Chinese transformer oil

2007· article· en· W2350969167 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 · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsCongenerTransformer oilChemistryEnvironmental chemistryChlorineGas chromatographyTransformerChromatographyOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

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.

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 score0.582
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
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.214
Teacher spread0.210 · 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