SugarBase taxonomy · Mean Acc
Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage.
Dataset and evaluation context
A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.
Evaluation results
Release 2026-09-17-d277315f7d76 · 14 evaluations · 14 metric rows. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| Shallow CNN / UW: SugarBase taxonomy · Mean Acc Configuration: Shallow CNN / UWProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 62.87(0.87)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.87; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, UW, column Mean Acc (%) Source checking is not independent reproduction. |
| RGCN / N-MTL: SugarBase taxonomy · Mean Acc Configuration: RGCN / N-MTLProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 64.45(0.40)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.4; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, N-MTL, column Mean Acc (%) Source checking is not independent reproduction. |
| Shallow CNN / GN: SugarBase taxonomy · Mean Acc Configuration: Shallow CNN / GNProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 63.13(0.25)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.25; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, GN, column Mean Acc (%) Source checking is not independent reproduction. |
| RGCN / TS: SugarBase taxonomy · Mean Acc Configuration: RGCN / TSProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 66.68(0.23)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.23; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, TS, column Mean Acc (%) Source checking is not independent reproduction. |
| RGCN / GN: SugarBase taxonomy · Mean Acc Configuration: RGCN / GNProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 63.83(0.65)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.65; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, GN, column Mean Acc (%) Source checking is not independent reproduction. |
| Shallow CNN / DTP: SugarBase taxonomy · Mean Acc Configuration: Shallow CNN / DTPProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 62.83(0.45)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.45; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, DTP, column Mean Acc (%) Source checking is not independent reproduction. |
| Shallow CNN / N-MTL: SugarBase taxonomy · Mean Acc Configuration: Shallow CNN / N-MTLProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 63.49(0.55)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.55; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, N-MTL, column Mean Acc (%) Source checking is not independent reproduction. |
| RGCN / UW: SugarBase taxonomy · Mean Acc Configuration: RGCN / UWProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 64.90(0.39)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.39; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, UW, column Mean Acc (%) Source checking is not independent reproduction. |
| RGCN / DWA: SugarBase taxonomy · Mean Acc Configuration: RGCN / DWAProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 63.65(0.25)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.25; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, DWA, column Mean Acc (%) Source checking is not independent reproduction. |
| Shallow CNN / TS: SugarBase taxonomy · Mean Acc Configuration: Shallow CNN / TSProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 63.77(0.19)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.19; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, TS, column Mean Acc (%) Source checking is not independent reproduction. |
| Shallow CNN: SugarBase taxonomy · Mean Acc Configuration: Shallow CNNProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 63.47(0.42)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.42; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, Single-Task, column Mean Acc (%) Source checking is not independent reproduction. |
| RGCN: SugarBase taxonomy · Mean Acc Configuration: RGCNProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 65.05(0.21)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.21; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, Single-Task, column Mean Acc (%) Source checking is not independent reproduction. |
| Shallow CNN / DWA: SugarBase taxonomy · Mean Acc Configuration: Shallow CNN / DWAProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 61.88(0.90)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.9; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, DWA, column Mean Acc (%) Source checking is not independent reproduction. |
| RGCN / DTP: SugarBase taxonomy · Mean Acc Configuration: RGCN / DTPProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 64.15(0.25)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.25; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, DTP, column Mean Acc (%) Source checking is not independent reproduction. |
Evidence table
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 4, p. 9, Mean Acc (%) 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_test No value recorded Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) 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. |
| attributes.source_locator Table 4, p. 9, Mean Acc (%) Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) 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 4, p. 9, Mean Acc (%) 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 No value recorded Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) 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 4, p. 9, Mean Acc (%) 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 · Mean Acc Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) 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. |
Sources and history
Release 2026-09-17-d277315f7d76 · Record review: needs review
- GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Original source · arXiv:2405.16206v1, 2024-05-25
Technical metadata and extraction receipts
Stable ID: paper-dataset-3b08dc110e25f5011e
- areas
- glycomics
- split
- SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1.
- subset
- Not reported
- reported population
- train validation test: Not reported; note: Dataset split sizes, not per-model scored counts.
- source locator
- Table 4, p. 9, Mean Acc (%)
- missing metadata
- manifest: unextracted; scored count: unreported
- entity classification
- review date: 2026-09-17; rationale: This record identifies a biological data collection or source-labelled evaluation cohort. Keep its dataset identity; split, assay, taxonomic level, candidate restrictions and comparison context remain attributes rather than automatically becoming new entity kinds.; source ids: expansion-p3-glycanml-2405-16206v1; source locator: Table 4, p. 9, Mean Acc (%); ambiguities: None recorded
Related records
- dataset: Shallow CNN / UW: SugarBase taxonomy · Mean Acc
- dataset: Shallow CNN / DTP: SugarBase taxonomy · Mean Acc
- dataset: RGCN / DWA: SugarBase taxonomy · Mean Acc
- dataset: RGCN / TS: SugarBase taxonomy · Mean Acc
- dataset: RGCN / UW: SugarBase taxonomy · Mean Acc
- dataset: Shallow CNN: SugarBase taxonomy · Mean Acc
- dataset: Shallow CNN / DWA: SugarBase taxonomy · Mean Acc
- dataset: Shallow CNN / N-MTL: SugarBase taxonomy · Mean Acc
- dataset: Shallow CNN / TS: SugarBase taxonomy · Mean Acc
- dataset: RGCN / GN: SugarBase taxonomy · Mean Acc
- dataset: RGCN / N-MTL: SugarBase taxonomy · Mean Acc
- dataset: Shallow CNN / GN: SugarBase taxonomy · Mean Acc
- dataset: RGCN / DTP: SugarBase taxonomy · Mean Acc
- dataset: RGCN: SugarBase taxonomy · Mean Acc