Pseudo-mock communities built from the isolate reads of species out of the database, 20 to 34 species each, up to 100,000 reads log-distributed across species.
5 evaluations · 5 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.
0 of 4 readiness checks met. These checks assess whether the evidence supports a reproducible investigation; a source-checked score alone does not meet them.
Release 2026-10-22-1b7cf027e4f6 · Evidence verified: Not verified
Exact outcomes, predictions, identifiers and evaluator are connected.
Missing or unresolved evidence
Verified: Not verified
Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.
Missing or unresolved evidence
Verified: Not verified
A pinned recipe describes the inputs, environment and resource requirements.
Missing or unresolved evidence
Verified: Not verified
Separate data and exposure records support an independent test.
Missing or unresolved evidence
Verified: Not verified
Readiness describes the evidence in this release. Availability on your computer is checked separately when an investigation runs. Existing data exposure can prevent independent validation even when files are available.
No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.
A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
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.
7 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Access Not released; built from the listed SRA runs Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'MetageNN is more sensitive ... at the community-level for ONT pseudo-mock communities' Experimental setup 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 |
| Population 30 pseudo-mock communities Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'MetageNN is more sensitive ... at the community-level for ONT pseudo-mock communities' Experimental setup 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 'MetageNN is more sensitive ... at the community-level for ONT pseudo-mock communities' Experimental setup Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'MetageNN is more sensitive ... at the community-level for ONT pseudo-mock communities' Experimental setup 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 |
| Split Test only Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'MetageNN is more sensitive ... at the community-level for ONT pseudo-mock communities' Experimental setup 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 |
| Version 'Mock - Species out of DB' as described in Peres da Silva et al. 2024 Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'MetageNN is more sensitive ... at the community-level for ONT pseudo-mock communities' Experimental setup 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 Pseudo-mock communities built from the isolate reads of species out of the database, 20 to 34 species each, up to 100,000 reads log-distributed across species. Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'MetageNN is more sensitive ... at the community-level for ONT pseudo-mock communities' Experimental setup 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 30 ONT pseudo-mock communities of out-of-database species (Peres da Silva et al. 2024) Context-only references | MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes Results 'MetageNN is more sensitive ... at the community-level for ONT pseudo-mock communities' Experimental setup 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 |
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
Stable ID: dna-pathogen-20261012-metagenn-data-mocks