X-ray photoelectron spectroscopy analysis for a reaction on the surface of tin metal in a continuous mercury analyzer.
Bibliographic record
Abstract
新しく考案された乾式還元プロセスを持った水銀連続分析計で生じている反応をより明確にするために, 乾式還元部分である金属スズの表面をX線光電子分光分析により特性化した. まず, 金属スズの表面を塩化させる方法について検討した. 金属スズに600ppmの塩化水素ガスを2時間通過させるより, 1mol/lの塩酸に2時間浸漬させるほうがより深くまで金属スズ表面を塩化させることができることが分かった. 次に, 塩酸によりプレコートした金属スズを, 塩化第二水銀ガス及び水蒸気を含んだ空気にさらした場合の変化を確認した. 表面に生成された塩化第一スズは空気あるいは水蒸気により, 時間の経過とともに表面の塩素の割合が減少し, 主に酸化スズに変化した. 表面は酸化第二スズが, 深部は酸化第一スズが支配的であることが分かった. 分析結果から推定される表面での反応は, 実際の実験における物質収支から推定される反応と合致するものであった.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".