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22 evaluations · 22 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: Transformer | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 27.49(1.20)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.2; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceTransformer: SugarBase taxonomy · Species Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row Transformer, column Species |
| Configuration: Shallow CNN / DTP | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 36.02(1.23)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.23; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DTP: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, DTP, column Species |
| Configuration: GAT | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 34.13(0.99)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.99; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGAT: SugarBase taxonomy · Species Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GAT, column Species |
| Configuration: Shallow CNN / N-MTL | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 36.74(0.35)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.35; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / N-MTL: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, N-MTL, column Species |
| Configuration: RGCN / TS | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 43.31(0.29)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.29; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / TS: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, TS, column Species |
| Configuration: RGCN / DWA | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 37.47(0.44)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.44; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DWA: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, DWA, column Species |
| Configuration: RGCN | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 38.12(1.15)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.15; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN: SugarBase taxonomy · Species Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row RGCN, column Species |
| Configuration: Shallow CNN / DWA | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 33.04(0.95)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.95; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DWA: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, DWA, column Species |
| Configuration: MPNN | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 33.80(1.87)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.87; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMPNN: SugarBase taxonomy · Species Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row MPNN, column Species |
| Configuration: ResNet | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 26.59(1.89)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.89; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceResNet: SugarBase taxonomy · Species Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row ResNet, column Species |
| Configuration: RGCN / GN | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 38.67(1.52)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.52; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / GN: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, GN, column Species |
| Configuration: Shallow CNN / TS | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 35.84(1.20)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.2; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / TS: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, TS, column Species |
| Configuration: Shallow CNN / UW | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 34.78(1.11)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.11; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / UW: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, UW, column Species |
| Configuration: RGCN / UW | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 39.61(0.89)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.89; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / UW: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, UW, column Species |
| Configuration: Shallow CNN | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 33.70(1.12)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.12; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN: SugarBase taxonomy · Species Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row Shallow CNN, column Species |
| Configuration: RGCN / DTP | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 39.97(2.11)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 2.11; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DTP: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, DTP, column Species |
| Configuration: CompGCN | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 40.04(1.32)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.32; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCompGCN: SugarBase taxonomy · Species Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row CompGCN, column Species |
| Configuration: GCN | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 31.01(0.87)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.87; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGCN: SugarBase taxonomy · Species Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GCN, column Species |
| Configuration: RGCN / N-MTL | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 38.59(1.44)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.44; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / N-MTL: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, N-MTL, column Species |
| Configuration: Shallow CNN / GN | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 36.49(1.63)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.63; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / GN: SugarBase taxonomy · Species Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, GN, column Species |
| Configuration: GIN | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 31.85(2.19)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 2.19; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGIN: SugarBase taxonomy · Species Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GIN, column Species |
| Configuration: LSTM | Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species | 26.04(1.73)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.73; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLSTM: SugarBase taxonomy · Species Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Species |
Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.
A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
7 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.reported_population.note Dataset split sizes, not per-model scored counts. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Species Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
attributes.reported_population.train_validation_test3 values
| GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Species Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.source_locator Table 3, p. 8, Species Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Species Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.split SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Species Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.subset Not reported Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Species Version: arXiv:2405.16206v1, 2024-05-25 | missing or unspecified No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| description Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Species Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| name SugarBase taxonomy · Species Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Species Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
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Release 2026-09-29-06401fd5b220 · Record review: needs review
Stable ID: paper-dataset-4c48251022ccb53313