Analytical method of PCDDs/PCDFs in blood using NIST SRM 1589a
Bibliographic record
Abstract
For the analytical method of PCDD/Fs in blood, which have been issued recently, SRM 1589a of NIST(National Institute of Standards and Technology) was used and a practical analytical method of PCDD/Fs in blood was presented through comparison of methods of Canada and Japan. The proposed method used alkali-digestion extraction for removal of the lipid effectively using two capillary columns. The limit of quantification of TeCDD/DF and PeCDD/DF was 1 pg/g-lipid, HxCDD/DF and HpCDD/DF was 2 pg/g-lipid, OCDD/DF was 4 pg/g-lipid. With consideration the range of detected concentration, calibration standards were presented as (0.1~1), (0.25~2.5), (0.5~5.0), (2~20), (10~100).
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".