{"claims": [{"text": "Stieger2021 dataset has 62 subjects, between 7 and 11 recording sessions per subject, and 62 EEG channels sampled at 1 kHz.", "quote_or_locator": "Section 2.7, Table 1: 'The Stieger2021 (Stiegeretal., 2021) dataset served as the primary dataset. It contains 62 subjects, between 7 and 11 recording sessions per subject, and 62 EEG channels sampled at 1kHz.'"}, {"text": "BNCI2014-004 dataset consists of 9 subjects, 5 sessions recorded on separate days, and 3 EEG channels sampled at 250 Hz.", "quote_or_locator": "Section 2.7, Table 1: 'The BNCI2014-004 dataset served as a secondary, low-channel replication benchmark. It consists of 9 subjects, 5 sessions recorded on separate days, and 3 EEG channels (C3, Cz, C4) sampled at 250Hz.'"}, {"text": "The benchmark evaluated 24 candidate configurations across 3 feature representations, 2 classifiers, and 4 domain-adaptation options.", "quote_or_locator": "Section 2.8: 'a full factorial grid comprising 3 feature representations × 2 classifiers × 4 domain-adaptation options, yielding |C|= 24 candidate configurations.'"}, {"text": "On Stieger2021, MAP achieved best-configuration accuracy of 71.73 percent.", "quote_or_locator": "Section 3.1, Table 2: 'On Stieger2021, Accmax was 71.73% for MAP'"}, {"text": "On Stieger2021, DWP achieved the highest configuration-averaged accuracy at 61.13 percent.", "quote_or_locator": "Section 3.2: 'On Stieger2021, DWP achieved the highest configuration-averaged accuracy Accmean value at 61.13%'"}, {"text": "On Stieger2021, BDP, DWP, and MAP attained the three highest selected-configuration accuracy values, ranging from 64.56 percent to 64.62 percent.", "quote_or_locator": "Section 3.3, Table 2: 'On Stieger2021, BDP, DWP, and MAP attain three highest mean Accauto values, ranging from 64.56% to 64.62%.'"}, {"text": "BDP required only 37 percent of MAP's execution time on Stieger2021 while maintaining comparable selected-configuration accuracy.", "quote_or_locator": "Section 3.7: 'Notably, BDP required only 37% of MAP's execution time, while the shared CI gate retained 74.29% of the available source sessions on average'"}, {"text": "Under the default 95 percent confidence interval, the mean retained-session count was 6.67 sessions on Stieger2021, representing 74.29 percent utilization.", "quote_or_locator": "Section 3.5, Table 7: 'the mean retained-session count was 6.67 sessions, representing a mean utilization of 74.29% on Stieger2021'"}, {"text": "On BNCI2014-004, MMPmta achieved selected-configuration accuracy of 74.17 percent.", "quote_or_locator": "Section 3.3, Table 2: 'On BNCI2014-004, selected-configuration accuracy was highest for MMPmta at 74.17%'"}, {"text": "On BNCI2014-004, MAP achieved selected-configuration accuracy of 71.20 percent.", "quote_or_locator": "Section 3.3, Table 2: 'MAP at 71.20%' (from Accauto row for MAP on BNCI2014-004)"}, {"text": "The confidence-interval gating procedure employed 200 non-parametric bootstrap replicates.", "quote_or_locator": "Section 2.3: 'The CI-gating procedure employed B = 200 non-parametric bootstrap replicates.'"}, {"text": "Distance metric used was maximum mean discrepancy (MMD) with a fixed Gaussian RBF kernel bandwidth parameter of sigma equals 1.0.", "quote_or_locator": "Section 2.3: 'Distances were computed as biased empirical squared MMD values using a Gaussian radial basis function (RBF) kernel with a fixed bandwidth parameter of σ = 1.0.'"}], "prompt_version": "p1.0", "verdicts": [{"claim": "Stieger2021 dataset has 62 subjects, between 7 and 11 recording sessions per subject, and 62 EEG channels sampled at 1 kHz.", "verdict": "supported", "evidence": "The Stieger2021 (Stiegeretal., 2021) dataset served as the primary dataset. It contains 62 subjects, between 7 and 11 recording sessions per subject, and 62 EEG channels sampled at 1kHz.", "note": null}, {"claim": "BNCI2014-004 dataset consists of 9 subjects, 5 sessions recorded on separate days, and 3 EEG channels sampled at 250 Hz.", "verdict": "supported", "evidence": "The BNCI2014-004 dataset served as a secondary, low-channel replication benchmark. It consists of 9 subjects, 5 sessions recorded on separate days, and 3 EEG channels (C3, Cz, C4) sampled at 250Hz.", "note": null}, {"claim": "The benchmark evaluated 24 candidate configurations across 3 feature representations, 2 classifiers, and 4 domain-adaptation options.", "verdict": "supported", "evidence": "a full factorial grid comprising 3 feature representations × 2 classifiers × 4 domain-adaptation options, yielding |C|= 24 candidate configurations.", "note": null}, {"claim": "On Stieger2021, MAP achieved best-configuration accuracy of 71.73 percent.", "verdict": "supported", "evidence": "On Stieger2021, Accmax was 71.73% for MAP", "note": null}, {"claim": "On Stieger2021, DWP achieved the highest configuration-averaged accuracy at 61.13 percent.", "verdict": "supported", "evidence": "On Stieger2021, DWP achieved the highest configuration-averaged accuracy Accmean value at 61.13%", "note": null}, {"claim": "On Stieger2021, BDP, DWP, and MAP attained the three highest selected-configuration accuracy values, ranging from 64.56 percent to 64.62 percent.", "verdict": "supported", "evidence": "On Stieger2021, BDP, DWP, and MAP attain three highest mean Accauto values, ranging from 64.56% to 64.62%.", "note": null}, {"claim": "BDP required only 37 percent of MAP's execution time on Stieger2021 while maintaining comparable selected-configuration accuracy.", "verdict": "supported", "evidence": "Notably, BDP required only 37% of MAP's execution time, while the shared CI gate retained 74.29% of the available source sessions on average", "note": null}, {"claim": "Under the default 95 percent confidence interval, the mean retained-session count was 6.67 sessions on Stieger2021, representing 74.29 percent utilization.", "verdict": "supported", "evidence": "the mean retained-session count was 6.67 sessions, representing a mean utilization of 74.29% on Stieger2021", "note": null}, {"claim": "On BNCI2014-004, MMPmta achieved selected-configuration accuracy of 74.17 percent.", "verdict": "supported", "evidence": "On BNCI2014-004, selected-configuration accuracy was highest for MMPmta at 74.17%", "note": null}, {"claim": "On BNCI2014-004, MAP achieved selected-configuration accuracy of 71.20 percent.", "verdict": "supported", "evidence": "MAP at 71.20% (from Accauto row for MAP on BNCI2014-004 in Table 2)", "note": null}, {"claim": "The confidence-interval gating procedure employed 200 non-parametric bootstrap replicates.", "verdict": "supported", "evidence": "The CI-gating procedure employed B = 200 non-parametric bootstrap replicates.", "note": null}, {"claim": "Distance metric used was maximum mean discrepancy (MMD) with a fixed Gaussian RBF kernel bandwidth parameter of sigma equals 1.0.", "verdict": "supported", "evidence": "Distances were computed as biased empirical squared MMD values using a Gaussian radial basis function (RBF) kernel with a fixed bandwidth parameter of σ = 1.0.", "note": null}]}