Proportion (share of reads assigned at genus level (correct or not); mean across 30 pseudo-mock communities of out-of-database species) of MEGAN-LR (main database, Peres da Silva et al. 2024) on 30 ONT pseudo-mock communities of out-of-database species (Peres da Silva et al. 2024)
53.1% Proportion (share of reads assigned at genus level (correct or not); mean across 30 pseudo-mock communities of out-of-database species)
Methods
- Tested configuration
- MEGAN-LR (main database, Peres da Silva et al. 2024)
- Protocol
- Read classification on 30 ONT pseudo-mock communities of out-of-database species (Peres da Silva et al. 2024)
- Dataset
- 30 ONT pseudo-mock communities of out-of-database species (Peres da Silva et al. 2024)
- Procedure
- Read classification on 30 ONT pseudo-mock communities of out-of-database species (Peres da Silva et al. 2024)
- Evaluation
- MEGAN-LR on read classification on 30 ONT pseudo-mock communities of out-of-database species (Peres da Silva et al. 2024)
- Coverage
- Not reported scored / Not reported eligible
- Uncertainty
- Not reported by the source
- Evidence
- Author-reported evaluation · source checkedMetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes · Results 'Read classification results' paragraph 1 (values shown in Fig. 4a)
A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: source checked. Source checked does not mean independently reproduced.
Reproduction
- Split
- Test only
- Adaptation
- All tools use the 516-genome main database
- Scoring implementation
- Read classification: percentage of reads assigned at genus level, whether or not correctly. Community level: presence of a genus above a cumulative read-count threshold.
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
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Reported result 53.06% Individual claims | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'Read classification results' paragraph 1 (values shown in Fig. 4a) Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML | source checked ["source-hash-verification","independent-cell-check"] · 2026-10-12 author reported Audit detailsRe-downloaded the Europe PMC full-text XML and matched its SHA-256; compared the value with a separate parser of the Table 1 table-wrap and of the Results sentences written for this review. Reviewer correction: direction unknown, because assigning more reads is not better by itself; correctness is only in Figure 4b. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record Extraction artifact SHA-256: |
Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes · Original source · BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML
Technical metadata and extraction receipts
Stable ID: dna-pathogen-20261012-metagenn-result-megan-lr-mocks-reads-classified
- metric
- proportion
- metric direction
- unknown
- unit
- percent
- printed value
- 53.06%
- metric qualifier
- share of reads assigned at genus level (correct or not); mean across 30 pseudo-mock communities of out-of-database species
- source locator
- Results 'Read classification results' paragraph 1 (values shown in Fig. 4a)
- missing metadata
- uncertainty: reason: unreported
- review
- method: source-hash-verification; independent-cell-check; reviewer: claude; reviewer note: Separate Claude review agent (rev-mlvb), independent of the extracting agent; no human review claimed; date: 2026-10-12; artifact sha256: ac4b137508d295d5e04e9be263bef40bdcf2c494e096407e5896611194f14e12; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11022314/fullTextXML; method note: Transcribed from a Results sentence of the pinned XML; extract/extract_metagenn.py asserts the exact sentence before writing the value.; note: Re-downloaded the Europe PMC full-text XML and matched its SHA-256; compared the value with a separate parser of the Table 1 table-wrap and of the Results sentences written for this review. Reviewer correction: direction unknown, because assigning more reads is not better by itself; correctness is only in Figure 4b.
- numeric value
- 53.06