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Configuration

Shallow CNN / GN

Shallow CNN / GN as evaluated in the cited study. Backbone: Shallow CNN; adaptation: GN.

SourcesGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, GN, column Domain

9 evaluations · 9 results

Overview

Key specifications have not been extracted for this record. See the linked evaluation and sources for the reported setup.

limited source coverage · Automated source review, 2026-09-17. All specifications and missing details

Evaluations and results

9 evaluations · 9 results. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Shallow CNN / GNProtocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction)
Dataset: SugarBase taxonomy · Domain
92.96(0.49)% accuracy
percent · higher

Uncertainty: type: standard_deviation; value: 0.49; n: 3; unit: same_as_metric

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Shallow CNN / GN: SugarBase taxonomy · Domain

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 Domain
Configuration: Shallow CNN / GNProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)
Dataset: SugarBase taxonomy · Mean Acc
63.13(0.25)% mean accuracy across eight taxonomy tasks
percent · higher

Uncertainty: type: standard_deviation; value: 0.25; n: 3; unit: same_as_metric

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Shallow CNN / GN: SugarBase taxonomy · Mean Acc

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 Mean Acc (%)
Configuration: Shallow CNN / GNProtocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction)
Dataset: SugarBase taxonomy · Family
42.40(1.49)% accuracy
percent · higher

Uncertainty: type: standard_deviation; value: 1.49; n: 3; unit: same_as_metric

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Shallow 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: Shallow CNN / GNProtocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction)
Dataset: SugarBase taxonomy · Order
48.13(1.21)% accuracy
percent · higher

Uncertainty: type: standard_deviation; value: 1.21; n: 3; unit: same_as_metric

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Shallow CNN / GN: SugarBase taxonomy · Order

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 Order
Configuration: Shallow CNN / GNProtocol: SugarBase taxonomy · Class (GlycanML taxonomy prediction)
Dataset: SugarBase taxonomy · Class
70.29(0.66)% accuracy
percent · higher

Uncertainty: type: standard_deviation; value: 0.66; n: 3; unit: same_as_metric

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Shallow CNN / GN: SugarBase taxonomy · Class

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 Class
Configuration: Shallow CNN / GNProtocol: SugarBase taxonomy · Kingdom (GlycanML taxonomy prediction)
Dataset: SugarBase taxonomy · Kingdom
91.08(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 checked
Methods, coverage and source

Shallow CNN / GN: SugarBase taxonomy · Kingdom

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 Kingdom
Configuration: Shallow CNN / GNProtocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction)
Dataset: SugarBase taxonomy · Phylum
84.95(0.69)% accuracy
percent · higher

Uncertainty: type: standard_deviation; value: 0.69; n: 3; unit: same_as_metric

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Shallow CNN / GN: SugarBase taxonomy · Phylum

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 Phylum
Configuration: Shallow CNN / GNProtocol: SugarBase taxonomy · Genus (GlycanML taxonomy prediction)
Dataset: SugarBase taxonomy · Genus
38.74(0.93)% accuracy
percent · higher

Uncertainty: type: standard_deviation; value: 0.93; n: 3; unit: same_as_metric

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Shallow CNN / GN: SugarBase taxonomy · Genus

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 Genus
Configuration: Shallow CNN / GNProtocol: 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 checked
Methods, coverage and source

Shallow 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

Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.

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How it works, versions and access

How it works

Evaluation in this paper

Backbone: Shallow CNN; adaptation: GN.

SourcesGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, GN, column Domain
Strengths, limitations and unresolved questions

Strengths and limitations

Strengths and considerations

No source-reviewed explanatory claims are recorded here yet.

Limitations and conditions

No source-reviewed explanatory claims are recorded here yet.

Profile review details

Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.

Stable record: paper-model-d7bcb19ca0d0618a21

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-17. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
PropertyDescription and evidence
Model typeNot extracted or verified for this record.
InputsNot extracted or verified for this record.
OutputsNot extracted or verified for this record.
ParametersNot extracted or verified for this record.
Known versionsNot extracted or verified for this record.
Training dataNot extracted or verified for this record.
Context limitsNot extracted or verified for this record.
AccessNot extracted or verified for this record.
Code licenceNot extracted or verified for this record.
Weights licenceNot extracted or verified for this record.

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

Evidence table

Inspect claims, sources and review details

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.

2 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statementOriginal source and locationReview and provenance
Evaluation in this paper
Backbone: Shallow CNN; adaptation: GN.
Individual claims
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning

Original source ↗

Table 4, Shallow CNN, GN, column Domain

Version: arXiv:2405.16206v1, 2024-05-25
Retrieved: 2026-09-16T21:04:56.017006+00:00

source checked

automated source review · 2026-09-17

Audit details

Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.

Field: attributes.profile.sections.0.body

Source artifact SHA-256: 9ba3db678b4550898a612b42e8832bf9dee40935090fc4d969ba8f6ac5106979

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

Introduction
Shallow CNN / GN as evaluated in the cited study. Backbone: Shallow CNN; adaptation: GN.
Individual claims
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning

Original source ↗

Table 4, Shallow CNN, GN, column Domain

Version: arXiv:2405.16206v1, 2024-05-25
Retrieved: 2026-09-16T21:04:56.017006+00:00

source checked

automated source review · 2026-09-17

Audit details

Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.

Field: attributes.profile.summary

Source artifact SHA-256: 9ba3db678b4550898a612b42e8832bf9dee40935090fc4d969ba8f6ac5106979

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

Sources and history

View linked audit checks and correction history

Release 2026-09-29-06401fd5b220 · Record review: needs review

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: paper-model-d7bcb19ca0d0618a21

areas
glycomics
entity level
method
configuration type
reported_configuration
version
Backbone: Shallow CNN; adaptation: GN.
legacy kinds
model
entity classification
review date: 2026-09-17; rationale: This source-scoped entry preserves the method/configuration actually named in an evaluation. It is neither a global family identity nor proof of an immutable checkpoint; the linked evaluation retains adaptation, fitting and scoring details.; source ids: expansion-p3-glycanml-2405-16206v1; source locator: Table 4, Shallow CNN, GN, column Domain; ambiguities: Configuration means the source-labelled evaluated identity. It does not establish missing checkpoint hashes, default settings or equivalence to same-named records in other papers.
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