Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
DETIRE
DETIRE is the method recorded for viral sequence detection. This page preserves the configuration reported by DETIRE: a hybrid deep learning model for identifying viral sequences from metagenomes.
At a glance
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Recorded dataset | testing viral metagenome datasetDETIRE: a hybrid deep learning model for identifying viral sequences from metagenomes · Table 1, Accuracy row, DETIRE column |
| Recorded split | testDETIRE: a hybrid deep learning model for identifying viral sequences from metagenomes · Table 1, Accuracy row, DETIRE column |
| Model type | Not extracted or verified for this record. |
| Known versions | Not extracted or verified for this record. |
| Training data | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
How it works
Recorded evaluation
The imported evaluation describes this procedure: Hybrid deep learning virus-fragment classifier on paper testing dataset
DETIRE: a hybrid deep learning model for identifying viral sequences from metagenomes · Table 1, Accuracy row, DETIRE columnBenchmarks and results
Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| DETIRE: viral sequence detection 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. |
Strengths and limitations
Limitations and conditions
- This is an evidence-limited profile. The recorded evaluation context does not establish performance on other datasets or configurations.DETIRE: a hybrid deep learning model for identifying viral sequences from metagenomes · Table 1, Accuracy row, DETIRE column
Profile review details
Reviewed the existing release record, its source pointer and linked evaluation context. This is not a fresh full-text architecture review or independent reproduction; numerical review status is unchanged.
Stable record: reported-model-6d9dbac97852d8Sources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- DETIRE: a hybrid deep learning model for identifying viral sequences from metagenomes · Original source · PMC archival version PMC10313334.1
Technical metadata and extraction receipts
Stable ID: reported-model-6d9dbac97852d8
- areas
- microbes-communities
- entity level
- method
- version
- Not reported
- reported name
- DETIRE
- missing metadata
- version: not_reported_in_legacy_extract; checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract