evaluation · needs review

DETIRE: viral sequence detection

Evaluation procedure

Hybrid deep learning virus-fragment classifier on paper testing dataset

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.

Evaluated configurationMetricEvidence origin

Results grouped by the exact reported evaluation
Metric and finding	Coverage and uncertainty	Evidence
DETIRE: viral sequence detection Model: DETIRE · Benchmark: viral sequence detection · Dataset: testing viral metagenome dataset Hybrid deep learning virus-fragment classifier on paper testing dataset Author-reported evaluation · Evaluation metadata: needs review
0.8772 accuracy Unit: fraction · Direction: unknown	Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported	source checkedDETIRE: a hybrid deep learning model for identifying viral sequences from metagenomes · Table 1, Accuracy row, DETIRE column Source checking is not independent reproduction.

Release 2026-09-16-d74d282221a9 · Record review: needs review

Technical metadata and extraction receipts

Stable ID: evaluation-lit-b4-018

areas: microbes-communities
tasks: viral sequence detection
origin: author_reported
protocol: Hybrid deep learning virus-fragment classifier on paper testing dataset
version: Not reported
comparison: protocol id: Not reported; dataset version: Not reported; split: test; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
missing metadata: model version: not_reported_in_legacy_extract; dataset version: not_reported_in_legacy_extract

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