Determination of rare-earth elements in environmental water using chelating resin disk separation/ICP-MS.
Bibliographic record
Abstract
イミノ二酢酸キレート樹脂ディスクを用いた環境水中の希土類元素の予備濃縮法の開発を行い, ICP-MSを用いて, 環境水試料中の希土類元素の定量を試みた. 試料をpH3に調整することにより, 本樹脂ディスクを用いて希土類元素及びTh, Uの濃縮と海水試料の主成分であるアルカリ, アルカリ土類元素の除去が迅速に行える. アルカリ土類金属全般を除去することができ, 試料中のBaもCaと同時に分離されることから, ICP-MSの測定の際にBaOの妨害の影響を受けるユーロピウムについても定量が可能である. 本法を用い, 四つの環境標準試料 {河川水標準物質, JAC 0031 (日本分析化学会), SLRS-3 (NRC Canada), 海水標準試料CASS-3, NASS-4 (NRC Canada)} 及び, 青森県内の五つの環境試料 (海水1, 汽水3, 淡水1) 中の希土類元素を測定した.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.005 | 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".