rewire.itbenchmarks
Protocol

GlyConnect glycosylation · Glycos (GlycanML glycosylation type prediction)

GlycanML Glycos · Table 3, p. 8. Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column.

SourcesGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, p. 8, Glycos

10 evaluations · 10 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

Results

Each comparison retains its reviewed evaluation scope, dataset and metric. Results are shown without a pooled ranking.

GlycanML Glycos · Table 3, p. 8

accuracy (percent) · Higher values are better.

GlyConnect glycosylation · Glycos (GlycanML glycosylation type prediction) · GlyConnect glycosylation · Glycos

Evidence origin: Author-reported evaluation.

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, p. 8, Glycos
  • Taxonomic levels are distinct tasks; do not combine raw accuracy across levels.
  • Protein–glycan scores evaluate combined glycan encoders plus ESM-1b/MLP, not an ESM-1b standalone checkpoint.
  • Cluster manifests and trained checkpoint hashes are not enumerated in the paper table.
Comparison details and limitations

Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column.

Automated source review: 2026-09-17. Numerical source review does not establish independent reproduction.

Dots show point estimates. Whiskers show only explicitly defined uncertainty (standard deviation, standard error or a labelled interval); their definitions remain in Table. Unresolved uncertainty is not plotted. Differences do not establish statistical significance.

Showing 10 of 10 matching rows.

Methods and evaluation design

Procedure, tasks and evaluated configurations

How it works

Evaluation in this paper

Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column.

SourcesGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, p. 8, Glycos

Evaluation design

Benchmarks bring together tasks and protocols. A task describes the biological question; a protocol defines a particular test.

These source-backed links do not make different protocols or scores interchangeable.

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Baseline coverage

Reference methods help show what a model adds beyond simple controls. We track a null control and a conventional method for each protocol.

0 of 2 active baseline roles have published Rewire measurements in this release. Measurements on a selected protocol do not establish coverage of an entire suite.

No execution recipe linked to this protocol. Recipe availability does not establish a completed evaluation.

No reviewed evaluations with results linked in this release.

Literature evidence is not a Rewire measurement. Executed but unpublished runs and private review status are not included.

Null control

Proposed control: requires review

Select a task-valid null control after reviewing inputs and metric

Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.

This is a suggested selection rule, not a validated method or a measured score.

Conventional reference

Proposed control: requires review

Select an upstream conventional reference after reviewing the full protocol

Protocol-specific applicability, permitted inputs, access, split, evaluator and execution requirements need review before implementation or execution.

This is a suggested selection rule, not a validated method or a measured score.

Protocol coverage CSV · Model evaluation matrix · Source table · Release and checksums

Coverage is derived from release 2026-09-29-06401fd5b220. Source citations describe the original records; they do not validate an unreviewed baseline proposal. No results have been generated by this audit.

Run instructions

No runnable recipe has been reviewed for this protocol. Dataset access, model requirements, licences and compute requirements must be checked against its sources before execution.

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-protocol-1e0e586e8edab0dc26

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.

Data, procedure and scoring
PropertyDescription and evidence
DatasetsNot extracted or verified for this record.
OrganismsNot extracted or verified for this record.
AssaysNot extracted or verified for this record.
SplitsNot extracted or verified for this record.
Allowed inputsNot extracted or verified for this record.
AdaptationNot extracted or verified for this record.
MetricsNot extracted or verified for this record.
BaselinesNot extracted or verified for this record.

Evidence

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

Papers and result coverage

Last literature check: 2026-09-17. Primary-paper within-study comparison; numerical results not independently reproduced.

Paper or primary resourceVersionReference
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine LearningarXiv:2405.16206v1, 2024-05-25Read source
Historical gaps recorded on 2026-09-17

The catalogue now holds 10 result rows for this benchmark. A note below about pending extraction describes the state on 2026-09-17 and may since have been answered by a later batch. The result rows and their sources are the current record.

  • Paper table does not enumerate trained checkpoint hashes; source configuration names retained.
Search and extraction details

complete comparison extracted

Searches

  • GlycanML benchmark 2405.16206

Evidence locations

  • Table 3, p. 8, Glycos

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.

4 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
Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column.
Individual claims
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning

Original source ↗

Table 3, p. 8, Glycos

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
GlycanML Glycos · Table 3, p. 8. Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column.
Individual claims
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning

Original source ↗

Table 3, p. 8, Glycos

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

Relationship: evaluates task
discovery-benchmark-glycanml-glycosylation-type-prediction
Individual claims
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning

Original source ↗

Table 3, p. 8, Glycos

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

Field: links:evaluates_task:discovery-benchmark-glycanml-glycosylation-type-prediction

Claim: paper-claim-0b9d3bbf2ac04ab720

Source artifact SHA-256: 9ba3db678b4550898a612b42e8832bf9dee40935090fc4d969ba8f6ac5106979

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

Relationship: part of
discovery-benchmark-glycanml
Individual claims
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning

Original source ↗

Table 3, p. 8, Glycos

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

Field: links:part_of:discovery-benchmark-glycanml

Claim: paper-claim-accb34acc7592660b4

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-protocol-1e0e586e8edab0dc26

areas
glycomics
entity level
protocol
protocol
Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column.
comparison panels
id: glycanml-v1-single-glycos; title: GlycanML Glycos · Table 3, p. 8; protocol id: paper-protocol-1e0e586e8edab0dc26; dataset id: paper-dataset-e797e17c76c1278706; metric: accuracy; unit: percent; direction: higher; result ids: paper-result-ee2fc7d3f24c74d26a; paper-result-cd7d5e177d170e4ce3; paper-result-c7fcf3af8b768565b7; paper-result-e2f3edb52244aed4ea; paper-result-edb19c124f6d9e2398; paper-result-ebfebb353d4b0a9e5a; paper-result-04b741864eefb0125e; paper-result-00ca74108e1dd8a295; paper-result-7ef41afc692b853ffd; paper-result-c4ba6aef76ee19b8d5; source ids: expansion-p3-glycanml-2405-16206v1; source locator: Table 3, p. 8, Glycos; context: Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column.; caveats: Taxonomic levels are distinct tasks; do not combine raw accuracy across levels.; Protein–glycan scores evaluate combined glycan encoders plus ESM-1b/MLP, not an ESM-1b standalone checkpoint.; Cluster manifests and trained checkpoint hashes are not enumerated in the paper table.; review: method: automated_source_review; date: 2026-09-17
benchmark research
review date: 2026-09-17; status: complete_comparison_extracted; primary sources: expansion-p3-glycanml-2405-16206v1; inspected locators: Table 3, p. 8, Glycos; searched queries: GlycanML benchmark 2405.16206; gaps: Paper table does not enumerate trained checkpoint hashes; source configuration names retained.; claim scope: Primary-paper within-study comparison; numerical results not independently reproduced.
legacy kinds
benchmark
entity classification
review date: 2026-09-17; rationale: The source-backed record identifies a specified evaluated procedure and its dataset/split/scoring context. Classify it as a protocol while preserving version and comparison restrictions.; source ids: expansion-p3-glycanml-2405-16206v1; source locator: Table 3, p. 8, Glycos; ambiguities: None recorded
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