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evaluation · needs review

EVO2: Genome-wide prophage detection

Evaluation procedure

Genomic language model fine-tuned for prophage detection; genome-wide evaluation.

Model
EVO2
Benchmark
Genome-wide prophage detection
Dataset
LAMBDA genome-wide prophage test
origin
Independent external evaluation
configuration
Not reported
protocol id
Not reported
dataset version
Not reported
split
Not reported
population
Not reported
inputs
Not reported
adaptation
Not reported
metric implementation
Not reported
aggregation
Not reported
budget
Not reported

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

Evaluation results

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

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
EVO2: Genome-wide prophage detection

Genomic language model fine-tuned for prophage detection; genome-wide evaluation.

Independent external evaluation · Evaluation metadata: needs review

0.680 MCC

Unit: unitless · Direction: unknown

Uncertainty: not reported in legacy extract

Scored: Not reported · Eligible: Not reported

source checkedLAMBDA: A Prophage Detection Benchmark for Genomic Language Models · Table 5, EVO2 row, MCC column

Source checking is not independent reproduction.

Sources and history

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

Download this release
Technical metadata and extraction receipts

Stable ID: evaluation-lit-037

areas
microbes-communities
tasks
Genome-wide prophage detection
origin
independent_paper
protocol
Genomic language model fine-tuned for prophage detection; genome-wide evaluation.
version
Not reported
comparison
protocol id: Not reported; dataset version: Not reported; split: Not reported; 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; split: not_reported_in_legacy_extract
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