reported_ranking: dna-pathogen-20261012-metagenn-protocol-isolates
Reported ranking of Genus-level read classification of ONT bacterial isolates, main database (Peres da Silva et al. 2024)
For species out of the database, MetageNN had the highest sensitivity along with MMseqs2, significantly above MetaMaps, Kraken2, GeNet and MEGAN-LR; its precision was slightly lower than MetaMaps, Kraken2 and MMseqs2 (the text says non-significant except for MEGAN-LR) (values in Fig. 3c only).
Descriptive fact transcribed from the pinned source.
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.
6 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Claimed field reported_ranking Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'Results for “Species out of the database” settings' paragraph 2 Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Source location Results 'Results for “Species out of the database” settings' paragraph 2 Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'Results for “Species out of the database” settings' paragraph 2 Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Claimed value For species out of the database, MetageNN had the highest sensitivity along with MMseqs2, significantly above MetaMaps, Kraken2, GeNet and MEGAN-LR; its precision was slightly lower than MetaMaps, Kraken2 and MMseqs2 (the text says non-significant except for MEGAN-LR) (values in Fig. 3c only). Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'Results for “Species out of the database” settings' paragraph 2 Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Description Descriptive fact transcribed from the pinned source. Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'Results for “Species out of the database” settings' paragraph 2 Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Relationship: subject dna-pathogen-20261012-metagenn-protocol-isolates Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'Results for “Species out of the database” settings' paragraph 2 Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Name reported_ranking: dna-pathogen-20261012-metagenn-protocol-isolates Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'Results for “Species out of the database” settings' paragraph 2 Version: BMC Bioinformatics 25:153, published 2024-04-16; PMC11022314 full-text XML | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
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-claim-out-of-database-ranking
- field
- reported_ranking
- value
- For species out of the database, MetageNN had the highest sensitivity along with MMseqs2, significantly above MetaMaps, Kraken2, GeNet and MEGAN-LR; its precision was slightly lower than MetaMaps, Kraken2 and MMseqs2 (the text says non-significant except for MEGAN-LR) (values in Fig. 3c only).
- source locator
- Results 'Results for “Species out of the database” settings' paragraph 2
- 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 the pinned article XML text.; note: Checked against the re-downloaded article XML (SHA-256 matches).