Multi-elemental determination of trace elements in deep seawater by inductively coupled plasma mass spectrometry with resin preconcentration
Bibliographic record
Abstract
海水中の微量元素を定量するため，イミノ二酢酸基を有するキレート樹脂（Muromac A-1）を詰めたミニカラムを用いて微量元素を濃縮した．濃縮後，カラムに酢酸アンモニウム緩衝液（pH 5.5）と精製水を流し，分析の妨害となるCa，Mgを除去した．その後，分析対象元素を2 mol l－1の硝酸で溶離した．測定は誘導結合プラズマ（ICP）質量分析法及びICP発光分光分析法により行った．本法により26元素が定量可能となった．測定に要した試料は200 mlである．Al，V，Thの回収率は70％ 以下であったが，それ以外のほとんどの元素では90％ 以上であった．分析の信頼性を標準物質NASS-4（NRC Canada）を用いて確認した結果，本法の値は保証値とよく一致していた．本法により海洋深層水（高知県室戸市）及び表層海水の分析を行った．海洋深層水中の微量元素濃度は，表層水に比べて，栄養塩型では高く，捕獲型では低くなり，海洋学的な知見と一致していた．また，希土類元素濃度を規格化し，そのパターンを調べたところ，深層水ではCe(III) が酸化されてCe(IV) となり，粒子態として除去されている現象を裏付ける結果が認められた．
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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) | 0.001 | 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".