{"claims": [{"text": "A PubMed search for 'EEG' or 'electroencephalography' returned 217,092 results as of January 18, 2026.", "quote_or_locator": "Summary section: 'a search on PubMed for the terms (\"EEG\" or \"electroencephalography\") yielded 217,092 results on Jan 18 2026'"}, {"text": "EEG has high temporal resolution of approximately 1 millisecond.", "quote_or_locator": "State of the field section, bullet point: 'high temporal resolution (~1ms)'"}, {"text": "Eegle.jl contains eight internal modules: BCI.jl, Database.jl, ERPs.jl, FileSystem.jl, InOut.jl, Miscellaneous.jl, Preprocessing.jl, and Processing.jl.", "quote_or_locator": "Software design section, Internal modules table lists all eight modules"}, {"text": "Eegle.jl re-exports twelve external Julia packages for scientific computing.", "quote_or_locator": "Software design section, Re-exported external packages table lists: CovarianceEstimation.jl, Diagonalizations.jl, Distributions.jl, DSP.jl, FourierAnalysis.jl, LinearAlgebra.jl, NPZ.jl, PermutationTests.jl, PosDefManifold.jl, PosDefManifoldML.jl, StatsBase.jl, Statistics.jl"}, {"text": "The FII BCI Corpus is the first large open-access corpus of its kind for motor imagery and P300 BCI paradigms.", "quote_or_locator": "Research Impact Statement section: 'This is the first large open-access corpus of its kind.'"}, {"text": "pyLittleEegle replicates all functionalities related to database selection, EEG data reading and processing, data structuring for analysis, and data preparation for scikit-learn classifiers.", "quote_or_locator": "Research Impact Statement, pyLittleEegle section: 'This package replicates all functionalities related to database selection, EEG data reading and processing, as well as data structuring for analysis. Furthermore, it handles data encoding and preparation for classification tasks using scikit-learn'"}, {"text": "Eegle.jl and pyLittleEegle promote interoperability between Julia and Python for BCI research, which is new in the community.", "quote_or_locator": "Research Impact Statement, pyLittleEegle section: 'Eegle.jl and pyLittleEegle promote interoperability between Julia and Python for BCI research, which is also new in the community.'"}, {"text": "Generative AI tools were used only for hastening the writing of non-computing routines and for spelling and grammar error checking.", "quote_or_locator": "AI usage disclosure section: 'Generative AI tools were used in the development of this software only for hastening the writing of non-computing routines, such as the download GUI and some routines for the automatic generation of code blocks in the tutorials. For writing the manuscript, generative AI tools have been used only for spelling and grammar error checking.'"}], "prompt_version": "p1.0", "verdicts": [{"claim": "A PubMed search for 'EEG' or 'electroencephalography' returned 217,092 results as of January 18, 2026.", "verdict": "supported", "evidence": "a search on PubMed for the terms (\"EEG\" or \"electroencephalography\") yielded 217,092 results on Jan 18 2026", "note": null}, {"claim": "EEG has high temporal resolution of approximately 1 millisecond.", "verdict": "supported", "evidence": "high temporal resolution (~1ms)", "note": null}, {"claim": "Eegle.jl contains eight internal modules: BCI.jl, Database.jl, ERPs.jl, FileSystem.jl, InOut.jl, Miscellaneous.jl, Preprocessing.jl, and Processing.jl.", "verdict": "supported", "evidence": "Internal modules table lists: BCI.jl, Database.jl, ERPs.jl, FileSystem.jl, InOut.jl, Miscellaneous.jl, Preprocessing.jl, Processing.jl", "note": null}, {"claim": "Eegle.jl re-exports twelve external Julia packages for scientific computing.", "verdict": "supported", "evidence": "Re-exported external packages table lists: CovarianceEstimation.jl, Diagonalizations.jl, Distributions.jl, DSP.jl, FourierAnalysis.jl, LinearAlgebra.jl, NPZ.jl, PermutationTests.jl, PosDefManifold.jl, PosDefManifoldML.jl, StatsBase.jl, Statistics.jl", "note": null}, {"claim": "The FII BCI Corpus is the first large open-access corpus of its kind for motor imagery and P300 BCI paradigms.", "verdict": "supported", "evidence": "This is the first large open-access corpus of its kind. The corpus comprises a selection of BCI databases annotated and curated for both the motor imagery and P300 BCI paradigms.", "note": null}, {"claim": "pyLittleEegle replicates all functionalities related to database selection, EEG data reading and processing, data structuring for analysis, and data preparation for scikit-learn classifiers.", "verdict": "supported", "evidence": "This package replicates all functionalities related to database selection, EEG data reading and processing, as well as data structuring for analysis. Furthermore, it handles data encoding and preparation for classification tasks using scikit-learn", "note": null}, {"claim": "Eegle.jl and pyLittleEegle promote interoperability between Julia and Python for BCI research, which is new in the community.", "verdict": "supported", "evidence": "Eegle.jl and pyLittleEegle promote interoperability between Julia and Python for BCI research, which is also new in the community.", "note": null}, {"claim": "Generative AI tools were used only for hastening the writing of non-computing routines and for spelling and grammar error checking.", "verdict": "supported", "evidence": "Generative AI tools were used in the development of this software only for hastening the writing of non-computing routines, such as the download GUI and some routines for the automatic generation of code blocks in the tutorials. For writing the manuscript, generative AI tools have been used only for spelling and grammar error checking.", "note": null}]}