High‐Precision Measurement of <sup>187</sup>Os/<sup>188</sup>Os Isotope Ratios of Nanogram to Picogram Amounts of Os in Geological Samples by N‐<scp>TIMS</scp> using Faraday Cups Equipped with 10<sup>13</sup> Ω Amplifiers
Bibliographic record
Abstract
N ( 187 Os)/ N ( 188 Os) ratios of six geological reference materials were measured using static Faraday cups ( FC s) with 10 13 Ω amplifiers by N‐ TIMS . Our results show that the repeatability precision was 2–3‰ (2 RSD , n = 3), when taking ~ 1 g of BHVO ‐2 with 76 pg g −1 of Os mass fraction and ~ 2 g of BCR ‐2 with 21 pg g −1 of Os mass fraction for each sample, whether measured by FC s or by secondary electron multiplier. The repeatability precision measured by FC s was 1–0.2‰ (2 RSD , n = 3) when taking ~ 1 g of BIR ‐2 with 350 pg g −1 of Os mass fraction, ~ 1 g of WGB ‐1 with 493 pg g −1 of Os mass fraction or ~ 0.5 g of WPR ‐1 with 13.3 ng g −1 of Os mass fraction for each sample, which is much better than those measured by secondary electron multiplier. Instead, when taking ~ 2 g of AGV ‐2 with 4 pg g −1 Os mass fraction, the repeatability precision measured by secondary electron multiplier is 3–4‰ ( RSD , n = 3), which is better than those measured by FC s. Of the six reference materials analysed, WPR ‐1 and BIR ‐1a are the most homogeneous with regard to Os isotopic composition (2 RSD of 0.08% and 0.23%, respectively) when test portion masses are 0.5–1 g.
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.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".