Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage.
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: Shallow CNN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 45.27(1.52)% Accuracy percent · higher Uncertainty: SD 1.52 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN: SugarBase taxonomy · Family 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 Family |
| Configuration: Shallow CNN / DWA | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 41.57(2.17)% Accuracy percent · higher Uncertainty: SD 2.17 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DWA: SugarBase taxonomy · Family 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 Family |
| Configuration: CompGCN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.03(1.51)% Accuracy percent · higher Uncertainty: SD 1.51 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCompGCN: SugarBase taxonomy · Family 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 Family |
| Configuration: GCN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 34.93(0.76)% Accuracy percent · higher Uncertainty: SD 0.76 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGCN: SugarBase taxonomy · Family 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 Family |
| Configuration: Shallow CNN / GN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 42.40(1.49)% Accuracy percent · higher Uncertainty: SD 1.49 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / GN: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN / DWA | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.11(1.24)% Accuracy percent · higher Uncertainty: SD 1.24 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DWA: SugarBase taxonomy · Family 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 Family |
| Configuration: MPNN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 41.60(0.64)% Accuracy percent · higher Uncertainty: SD 0.64 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMPNN: SugarBase taxonomy · Family 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 Family |
| Configuration: Shallow CNN / DTP | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 42.76(2.02)% Accuracy percent · higher Uncertainty: SD 2.02 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DTP: SugarBase taxonomy · Family 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 Family |
| Configuration: GAT | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 37.50(0.91)% Accuracy percent · higher Uncertainty: SD 0.91 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGAT: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN / GN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.11(0.13)% Accuracy percent · higher Uncertainty: SD 0.13 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / GN: SugarBase taxonomy · Family 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 Family |
| Configuration: Shallow CNN / TS | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 45.19(2.50)% Accuracy percent · higher Uncertainty: SD 2.5 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / TS: SugarBase taxonomy · Family 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 Family |
| Configuration: GIN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 40.04(0.86)% Accuracy percent · higher Uncertainty: SD 0.86 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGIN: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN / N-MTL | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 45.67(1.64)% Accuracy percent · higher Uncertainty: SD 1.64 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / N-MTL: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN / TS | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 47.99(0.22)% Accuracy percent · higher Uncertainty: SD 0.22 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / TS: SugarBase taxonomy · Family 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 Family |
| Configuration: Shallow CNN / N-MTL | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.11(1.63)% Accuracy percent · higher Uncertainty: SD 1.63 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / N-MTL: SugarBase taxonomy · Family 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 Family |
| Configuration: ResNet | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 37.36(0.99)% Accuracy percent · higher Uncertainty: SD 0.99 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceResNet: SugarBase taxonomy · Family 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 Family |
| Configuration: Transformer | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 33.30(0.86)% Accuracy percent · higher Uncertainty: SD 0.86 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceTransformer: SugarBase taxonomy · Family 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 Family |
| Configuration: Shallow CNN / UW | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.40(0.00)% Accuracy percent · higher Uncertainty: SD 0 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / UW: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN / UW | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.90(0.88)% Accuracy percent · higher Uncertainty: SD 0.88 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / UW: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN / DTP | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 44.29(0.47)% Accuracy percent · higher Uncertainty: SD 0.47 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DTP: SugarBase taxonomy · Family 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 Family |
| Configuration: RGCN | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 46.35(0.50)% Accuracy percent · higher Uncertainty: SD 0.5 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN: SugarBase taxonomy · Family 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 Family |
| Configuration: LSTM | Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family | 38.74(1.47)% Accuracy percent · higher Uncertainty: SD 1.47 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLSTM: SugarBase taxonomy · Family 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 Family |
Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.
0 of 4 readiness checks met. These checks assess whether the evidence supports a reproducible investigation; a source-checked score alone does not meet them.
Release 2026-11-02-a7f03c9e55a5 · Evidence verified: Not verified
Exact outcomes, predictions, identifiers and evaluator are connected.
Missing or unresolved evidence
Verified: Not verified
Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.
Missing or unresolved evidence
Verified: Not verified
A pinned recipe describes the inputs, environment and resource requirements.
Missing or unresolved evidence
Verified: Not verified
Separate data and exposure records support an independent test.
Missing or unresolved evidence
Verified: Not verified
Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.
No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.
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.
6 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| 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, Family 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. |
Reported population: train validation test3 values
| GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Family 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. |
| Source location Table 3, p. 8, Family Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Family 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. |
| 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, Family 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. |
| 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, Family 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 · Family Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Family 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. |
Release 2026-11-02-a7f03c9e55a5 · Record review: needs review
Stable ID: paper-dataset-8d5d79e4a6a070bfff