The Recent Development and Application of Chemical Ionization Mass Spectrometry in Atmospheric Chemistry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Chemical ionization mass spectrometry (CIMS) is a soft ionization mass spectrometric technique. Instead of electron impaction, analytes are ionized by a reagent ion via ion–molecule reactions, such as proton transfer, charge transfer, and ion–analyte cluster formation. The product ions tend to retain the mass of the analytes, making CIMS an ideal technique to provide molecular‐level chemical information. This feature of CIMS brings significant advantages to the research field of atmospheric chemistry. This article highlights the development and application of CIMS in atmospheric chemistry over the past decade, with a focus on instrumental development and underlying ion–molecule reactions of commonly employed reagent ions.
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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 it