Articles | Volume 15, issue 12
https://doi.org/10.5194/amt-15-3779-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.Ch3MS-RF: a random forest model for chemical characterization and improved quantification of unidentified atmospheric organics detected by chromatography–mass spectrometry techniques
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- Final revised paper (published on 24 Jun 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 28 Mar 2022)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on amt-2022-99', Anonymous Referee #1, 17 Apr 2022
- AC1: 'Reply on RC1', Emily B. Franklin, 18 May 2022
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RC2: 'Comment on amt-2022-99', Anonymous Referee #2, 22 Apr 2022
- AC2: 'Reply on RC2', Emily B. Franklin, 18 May 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Emily B. Franklin on behalf of the Authors (18 May 2022) 
Author's response
Author's tracked changes
Manuscript
ED: Publish subject to technical corrections (02 Jun 2022) by Albert Presto
