Machine Learning-Driven Data Fusion of Chromatograms, Plasmagrams, and IR Spectra of Chemical Compounds of Forensic Interest
- DOI
- 10.1021/acsomega.4c10107
- Published
- 2025-02-11
- Container
- ACS Omega
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1021/acsomega.4c10107,
title = {Machine Learning-Driven
Data Fusion of Chromatograms,
Plasmagrams, and IR Spectra of Chemical Compounds of Forensic Interest},
author = {Giorgio Felizzato and Giuliano Iacobellis and Nicola Liberatore and Sandro Mengali and Martin Sabo and Patrizia Scandurra and Roberto Viola and Francesco Saverio Romolo},
year = {2025},
journal = {ACS Omega},
doi = {10.1021/acsomega.4c10107},
url = {https://doi.org/10.1021/acsomega.4c10107}
}RIS
TY - JOUR TI - Machine Learning-Driven Data Fusion of Chromatograms, Plasmagrams, and IR Spectra of Chemical Compounds of Forensic Interest AU - Giorgio Felizzato AU - Giuliano Iacobellis AU - Nicola Liberatore AU - Sandro Mengali AU - Martin Sabo AU - Patrizia Scandurra AU - Roberto Viola AU - Francesco Saverio Romolo PY - 2025 JO - ACS Omega DO - 10.1021/acsomega.4c10107 UR - https://doi.org/10.1021/acsomega.4c10107 ER -
APA
Felizzato, G., Iacobellis, G., Liberatore, N., Mengali, S., Sabo, M., Scandurra, P., Viola, R., & Romolo, F. S. (2025). Machine Learning-Driven Data Fusion of Chromatograms, Plasmagrams, and IR Spectra of Chemical Compounds of Forensic Interest. ACS Omega. https://doi.org/10.1021/acsomega.4c10107
Source records
- crossref · retrieved 2026-09-26T22:42:04.776Z