Evaluation

RTG on ZymoBIOMICS Standard II (Song et al. 2025)

Evidence concern: excluded from comparisons

Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing'

Published DNA metagenomic classification comparison; transcribed, not reproduced.

Research readiness

These checks assess whether the evidence supports a reproducible investigation. A source-checked score alone does not meet these requirements.

Release 2026-10-09-8cc1db47c7f9 · Evidence verified: Not verified

Evidence incomplete

Replay metrics

Exact outcomes, predictions, identifiers and evaluator are connected.

Missing or unresolved evidence

No verified artifact manifest is linked to this exact record.
artifact hashes: verification is missing
join integrity: verification is missing
score semantics: verification is missing
metric replay: verification is missing

Verified: Not verified

Evidence incomplete

Investigate discrepancies

Replay evidence includes annotations and an assessment of dependence. Unknown independence permits descriptive analysis only.

Missing or unresolved evidence

No verified artifact manifest is linked to this exact record.
artifact hashes: verification is missing
join integrity: verification is missing
score semantics: verification is missing
metric replay: verification is missing
annotations: verification is missing
dependence: verification is missing

Verified: Not verified

Evidence incomplete

Run locally

A pinned recipe describes the inputs, environment and resource requirements.

Missing or unresolved evidence

No verified artifact manifest is linked to this exact record.
artifact hashes: verification is missing
join integrity: verification is missing
score semantics: verification is missing
recipe pinned: verification is missing
resource estimate: verification is missing

Verified: Not verified

Evidence incomplete

Validate independently

Separate data and exposure records support an independent test.

Missing or unresolved evidence

No verified artifact manifest is linked to this exact record.
artifact hashes: verification is missing
join integrity: verification is missing
score semantics: verification is missing
independent validation: verification is missing
overlap checked: verification is missing

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.

Artifacts and reproduction

No verified artifact manifest is connected to this record yet. The gaps above identify what is needed before analysis can begin.

Read reviewed discrepancy investigations

Evaluation results

1 evaluation · 9 results. Different protocols are not a single leaderboard.

Filter evaluations

Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of each species in ZymoBIOMICS Standard II against its theoretical distribution (Song et al. 2025 Table 1) Dataset: ZymoBIOMICS Microbial Community Standard II positive control (Song et al. 2025)	8.50E‐3 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on ZymoBIOMICS Standard II (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-zymo-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, row 'Bacillus subtilis', column 'RTG'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of each species in ZymoBIOMICS Standard II against its theoretical distribution (Song et al. 2025 Table 1) Dataset: ZymoBIOMICS Microbial Community Standard II positive control (Song et al. 2025)	9.68E‐5 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on ZymoBIOMICS Standard II (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-zymo-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, row 'Enterococcus faecalis', column 'RTG'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of each species in ZymoBIOMICS Standard II against its theoretical distribution (Song et al. 2025 Table 1) Dataset: ZymoBIOMICS Microbial Community Standard II positive control (Song et al. 2025)	6.54E‐4 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on ZymoBIOMICS Standard II (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-zymo-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, row 'Escherichia coli', column 'RTG'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of each species in ZymoBIOMICS Standard II against its theoretical distribution (Song et al. 2025 Table 1) Dataset: ZymoBIOMICS Microbial Community Standard II positive control (Song et al. 2025)	7.09E‐5 eta-squared unitless · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on ZymoBIOMICS Standard II (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-zymo-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, rows 'η 2' and 'p‐value', column 'RTG'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of each species in ZymoBIOMICS Standard II against its theoretical distribution (Song et al. 2025 Table 1) Dataset: ZymoBIOMICS Microbial Community Standard II positive control (Song et al. 2025)	9.36E‐5 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on ZymoBIOMICS Standard II (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-zymo-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, row 'Lactobacillus fermentum', column 'RTG'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of each species in ZymoBIOMICS Standard II against its theoretical distribution (Song et al. 2025 Table 1) Dataset: ZymoBIOMICS Microbial Community Standard II positive control (Song et al. 2025)	8.64E‐1 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on ZymoBIOMICS Standard II (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-zymo-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, row 'Listeria monocytogenes', column 'RTG'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of each species in ZymoBIOMICS Standard II against its theoretical distribution (Song et al. 2025 Table 1) Dataset: ZymoBIOMICS Microbial Community Standard II positive control (Song et al. 2025)	7.65E‐2 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on ZymoBIOMICS Standard II (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-zymo-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, row 'Pseudomonas aeruginosa', column 'RTG'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of each species in ZymoBIOMICS Standard II against its theoretical distribution (Song et al. 2025 Table 1) Dataset: ZymoBIOMICS Microbial Community Standard II positive control (Song et al. 2025)	8.65E‐4 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on ZymoBIOMICS Standard II (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-zymo-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, row 'Salmonella enterica', column 'RTG'
Configuration: RTG Core (Song et al. 2025)	Protocol: Relative abundance of each species in ZymoBIOMICS Standard II against its theoretical distribution (Song et al. 2025 Table 1) Dataset: ZymoBIOMICS Microbial Community Standard II positive control (Song et al. 2025)	0 proportion fraction · unknown Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Evidence concern: excluded from comparisons Table 1 prints Kraken relative abundances of 5.17E‐10 (Salmonella enterica and Escherichia coli), 5.17E‐11 (Lactobacillus fermentum) and 5.17E‐12 (Enterococcus faecalis): one mantissa over three orders of magnitude. As read fractions these need at least about 2 billion to 190 billion reads per assigned read, far above the study's libraries (patient samples average 33.5 M reads after QC; the control library size is not given). The values are probably a computation or formatting artefact, so the Kraken column of Table 1 and its eta squared (3.20E‐2) should not be compared. Values are kept as printed. Table 2 values are not affected by this finding.Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, column 'Kraken', rows 'Salmonella enterica' to 'Enterococcus faecalis' and 'η 2'; Methods 'Sample Collection and Processing' Methods, coverage and source RTG on ZymoBIOMICS Standard II (Song et al. 2025) dna-pathogen-20261009-protocol-song2025-zymo-abundance Aggregation: Not reported Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Table 1, row 'Staphylococcus aureus', column 'RTG'

Source checking is not independent reproduction. Release 2026-10-09-8cc1db47c7f9.

Evaluation procedure

dna-pathogen-20261009-protocol-song2025-zymo-abundance

Configuration: RTG Core (Song et al. 2025)
Protocol: Relative abundance of each species in ZymoBIOMICS Standard II against its theoretical distribution (Song et al. 2025 Table 1)
Dataset: ZymoBIOMICS Microbial Community Standard II positive control (Song et al. 2025)

origin: Independent external evaluation
configuration: Primary source as retrieved 2026-10-09
protocol id: dna-pathogen-20261009-protocol-song2025-zymo-abundance
dataset version: ZymoBIOMICS Microbial Community Standard II, one library
split: Single positive control
population: Eight species in Table 1
inputs: Merged quality-filtered HiSeq 2500 reads
adaptation: Native database per pipeline
metric implementation: Relative abundance as output by each pipeline
aggregation: Single library
budget: Not reported

Metadata review: source checked. Unreported conditions prevent automatic comparisons.

Reproduction

Split: Single positive control
Adaptation: Native database per pipeline
Scoring implementation: Relative abundance as output by each pipeline

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.

18 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-09-8cc1db47c7f9
Property and statement	Original source and location	Review and provenance
attributes.comparison.adaptation Native database per pipeline Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Table 1, column 'RTG' Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded independent paper Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.comparison.adaptation` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.aggregation Single library Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Table 1, column 'RTG' Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded independent paper Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.comparison.aggregation` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.budget Not reported Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Table 1, column 'RTG' Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	missing or unspecified No individual claim review recorded independent paper Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.comparison.budget` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.dataset_version ZymoBIOMICS Microbial Community Standard II, one library Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Table 1, column 'RTG' Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded independent paper Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.comparison.dataset_version` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.inputs Merged quality-filtered HiSeq 2500 reads Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Table 1, column 'RTG' Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded independent paper Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.comparison.inputs` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.metric_implementation Relative abundance as output by each pipeline Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Table 1, column 'RTG' Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded independent paper Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.comparison.metric_implementation` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.population Eight species in Table 1 Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Table 1, column 'RTG' Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded independent paper Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.comparison.population` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.protocol_id dna-pathogen-20261009-protocol-song2025-zymo-abundance Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Table 1, column 'RTG' Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded independent paper Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.comparison.protocol_id` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.comparison.split Single positive control Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Table 1, column 'RTG' Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded independent paper Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.comparison.split` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact
attributes.origin independent_paper Context-only references	Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection Original source ↗ Table 1, column 'RTG' Version: MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML Retrieved: 2026-10-09T19:48:48Z	not individually reviewed No individual claim review recorded independent paper Source has a recorded evidence concern. Consult its source page before using the claim. Audit details Field: `attributes.origin` Source artifact SHA-256: `7b122b551b2155b43c26f5a15e7382a0662d859520d2939dc91e04d88e5656ef` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact

All evidence (JSONL) (gzip)How to read the evidence

Sources and history

Release 2026-10-09-8cc1db47c7f9 · Record review: source checked

1 source records and release history

Diagnostic Accuracy of Shotgun Metagenomics for Bloodstream Infections Is Influenced by Bioinformatics Workflow Selection · Original source · MicrobiologyOpen 14(6):e70158, published online 2025-12-15; PMC12705909 full-text XML

Download this release (gzip)

Technical metadata and extraction receipts

Stable ID: dna-pathogen-20261009-eval-song2025-zymo-rtg-core-3-12

areas: microbes-communities
contexts: clinical_research
origin: independent_paper
protocol: dna-pathogen-20261009-protocol-song2025-zymo-abundance
version: Primary source as retrieved 2026-10-09
comparison: protocol id: dna-pathogen-20261009-protocol-song2025-zymo-abundance; dataset version: ZymoBIOMICS Microbial Community Standard II, one library; split: Single positive control; population: Eight species in Table 1; inputs: Merged quality-filtered HiSeq 2500 reads; adaptation: Native database per pipeline; metric implementation: Relative abundance as output by each pipeline; aggregation: Single library; budget: Not reported
source locator: Table 1, column 'RTG'

Related records

Suggest a correction