rewirebio.iobenchmarks
Result

Accuracy of RGCN / N-MTL on SugarBase taxonomy · Kingdom

91.59(1.67)% Accuracy

Methods

Tested configuration
RGCN / N-MTL
Protocol
SugarBase taxonomy · Kingdom (GlycanML taxonomy prediction)
Dataset
SugarBase taxonomy · Kingdom
Procedure
Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1.
Evaluation
RGCN / N-MTL: SugarBase taxonomy · Kingdom
Coverage
Not reported scored / Not reported eligible
Uncertainty
SD 1.67
Evidence
Author-reported evaluation · source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, N-MTL, column Kingdom

A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: needs review. Source checked does not mean independently reproduced.

Reproduction

Split
SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1.
Adaptation
Backbone: RGCN; adaptation: N-MTL.
Scoring implementation
Not reported

No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.

Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.

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.

1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
Property and statementOriginal source and locationReview and provenance
Reported result
91.59(1.67)
Individual claims
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning

Original source ↗

Table 4, RGCN, N-MTL, column Kingdom

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

source checked

["transcription","automated-source-review"] · 2026-09-17

author reported

Audit details

Source checked does not mean experimentally reproduced.

Field: attributes.printed_value

Source artifact SHA-256: 9ba3db678b4550898a612b42e8832bf9dee40935090fc4d969ba8f6ac5106979

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

Sources and history

Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: paper-result-89b973f6b24d20d70b

areas
glycans
printed value
91.59(1.67)
numeric value
91.59
metric
accuracy
metric direction
higher
unit
percent
uncertainty
type: standard_deviation; value: 1.67; n: 3
reported population
train validation test: 11010; 1280; 919; note: Dataset split sizes, not per-model scored counts.
source locator
Table 4, RGCN, N-MTL, column Kingdom
source occurrences
source id: expansion-p3-glycanml-2405-16206v1; locator: Table 4, RGCN, N-MTL, column Kingdom
review
method: transcription; automated-source-review; date: 2026-09-17; note: Source checked does not mean experimentally reproduced.; method note: primary table; source review separate from transcription
missing metadata
checkpoint revision: reason: unextracted; eligible count: reason: unextracted; scored count: reason: unreported
Related records

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