Bibliographic record
Abstract
반응셀이 장치된 유도결합플라스마 사중극자 질량분석기를 이용하여 자연적으로 존재하는 6개의 칼슘 동위원소의 검출특성에 관한 연구를 수행하였다. 동적반응셀 (dynamic reaction cell, DRC)장치를 이용한 실험에서 최적의 신호 대 잡음비를 얻기 위한 실험조건을 조사하였다. 본 실험을 통해서 반응기체로서 0.7 mL/min의 NH₃를 사용하고 rejection parameter (RPq)값을 0.6으로 사용함으로써, Ca의 질량위치인 m/z 40, 42, 43, 44, 46 그리고 m/z 48의 위치에서 잠재적인 간섭이온인 Ar+, CO₂+, NO₂+, CNO+ 등이 효과적으로 제거됨을 확인하였다. 검출한계는 동위원소 (40)^Ca, ⁴²Ca, ⁴³Ca, ⁴⁴Ca, 및 (48)^Ca에 대해서 각각 1, 29, 169, 34, and 15 pg/g으로 얻을 수 있었다. 이러한 실험조건 하에서 국제비교분석을 위해서 영국의 LGC (Laboratory of the Government Chemistry, Queens Road, Teddington, England)로부터 공급된 합성식품분해물질 중의 Ca을 동위원소희석법을 적용하여 분석하였다. 동위원소희석법에 의한 측정의 불확도는 ISO/GUM과 EURACHEM지침서에 따라 평가하였다. 측정된 시료중의 Ca의 농도와 불확도는 (66.4±1.2) ㎎/㎏이었다. 또한 본 실험방법의 유효성을 확인하기 위해 농도가 인증된 표준시료 NRCC (National Research Council of Canada)의 SLRS-3 (riverine water CRM)과 NIST (National Institute of Science and Technology)의 SRM1643d (trace element in water)를 분석하였다.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.012 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.014 |
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; both teacher heads agree on what is shown here.
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".