3 evaluations · 9 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: GenomeOcean | Protocol: Natural versus GenomeOcean-generated DNA classification (Natural vs artificial microbial genome sequence) Dataset: GenomeOcean natural/artificial sequence test | 99% F1 percent · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean: Natural vs artificial microbial genome sequence DNABERT 2 and NTv 2 standard fine-tuning; GenomeOcean LoRA. Negatives generated by GenomeOcean itself. CAMI 2 train 18,000/validation 2,000; GTDB test 20,000; balanced natural/artificial 2 kb sequences. Aggregation: Not reported GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies; GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies · Table 2, GenomeOcean row, F1 column |
| Configuration: DNABERT-2 | Protocol: Natural versus GenomeOcean-generated DNA classification (Natural vs artificial microbial genome sequence) Dataset: GenomeOcean natural/artificial sequence test | 85.1% F1 percent · higher Uncertainty: Not yet extracted Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDNABERT-2: Natural vs artificial microbial genome sequence DNABERT 2 and NTv 2 standard fine-tuning; GenomeOcean LoRA. Negatives generated by GenomeOcean itself. CAMI 2 train 18,000/validation 2,000; GTDB test 20,000; balanced natural/artificial 2 kb sequences. Aggregation: Not reported GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies; GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies · Table 2, DNABERT-2 row, F1 column |
| Configuration: Nucleotide Transformers V2 | Protocol: Natural versus GenomeOcean-generated DNA classification (Natural vs artificial microbial genome sequence) Dataset: GenomeOcean natural/artificial sequence test | 83.1% F1 percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNucleotide Transformers V2: Natural versus GenomeOcean-generated DNA classification DNABERT 2 and NTv 2 standard fine-tuning; GenomeOcean LoRA. Negatives generated by GenomeOcean itself. CAMI 2 train 18,000/validation 2,000; GTDB test 20,000; balanced natural/artificial 2 kb sequences. Aggregation: Not reported GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies · Table 2:, row Nucleotide Transformers V2, column F1; XML row3 column4 |
| Configuration: DNABERT-2 | Protocol: Natural versus GenomeOcean-generated DNA classification (Natural vs artificial microbial genome sequence) Dataset: GenomeOcean natural/artificial sequence test | 85% Recall percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDNABERT-2: Natural vs artificial microbial genome sequence DNABERT 2 and NTv 2 standard fine-tuning; GenomeOcean LoRA. Negatives generated by GenomeOcean itself. CAMI 2 train 18,000/validation 2,000; GTDB test 20,000; balanced natural/artificial 2 kb sequences. Aggregation: Not reported GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies · Table 2:, row DNABERT-2, column Recall; XML row2 column3 |
| Configuration: GenomeOcean | Protocol: Natural versus GenomeOcean-generated DNA classification (Natural vs artificial microbial genome sequence) Dataset: GenomeOcean natural/artificial sequence test | 99% Precision percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean: Natural vs artificial microbial genome sequence DNABERT 2 and NTv 2 standard fine-tuning; GenomeOcean LoRA. Negatives generated by GenomeOcean itself. CAMI 2 train 18,000/validation 2,000; GTDB test 20,000; balanced natural/artificial 2 kb sequences. Aggregation: Not reported GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies · Table 2:, row GenomeOcean, column Precision; XML row4 column2 |
| Configuration: Nucleotide Transformers V2 | Protocol: Natural versus GenomeOcean-generated DNA classification (Natural vs artificial microbial genome sequence) Dataset: GenomeOcean natural/artificial sequence test | 83% Recall percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNucleotide Transformers V2: Natural versus GenomeOcean-generated DNA classification DNABERT 2 and NTv 2 standard fine-tuning; GenomeOcean LoRA. Negatives generated by GenomeOcean itself. CAMI 2 train 18,000/validation 2,000; GTDB test 20,000; balanced natural/artificial 2 kb sequences. Aggregation: Not reported GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies · Table 2:, row Nucleotide Transformers V2, column Recall; XML row3 column3 |
| Configuration: DNABERT-2 | Protocol: Natural versus GenomeOcean-generated DNA classification (Natural vs artificial microbial genome sequence) Dataset: GenomeOcean natural/artificial sequence test | 85.2% Precision percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Independent external evaluation · Source checkedMethods, coverage and sourceDNABERT-2: Natural vs artificial microbial genome sequence DNABERT 2 and NTv 2 standard fine-tuning; GenomeOcean LoRA. Negatives generated by GenomeOcean itself. CAMI 2 train 18,000/validation 2,000; GTDB test 20,000; balanced natural/artificial 2 kb sequences. Aggregation: Not reported GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies · Table 2:, row DNABERT-2, column Precision; XML row2 column2 |
| Configuration: GenomeOcean | Protocol: Natural versus GenomeOcean-generated DNA classification (Natural vs artificial microbial genome sequence) Dataset: GenomeOcean natural/artificial sequence test | 99% Recall percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGenomeOcean: Natural vs artificial microbial genome sequence DNABERT 2 and NTv 2 standard fine-tuning; GenomeOcean LoRA. Negatives generated by GenomeOcean itself. CAMI 2 train 18,000/validation 2,000; GTDB test 20,000; balanced natural/artificial 2 kb sequences. Aggregation: Not reported GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies · Table 2:, row GenomeOcean, column Recall; XML row4 column3 |
| Configuration: Nucleotide Transformers V2 | Protocol: Natural versus GenomeOcean-generated DNA classification (Natural vs artificial microbial genome sequence) Dataset: GenomeOcean natural/artificial sequence test | 83.3% Precision percent · higher Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceNucleotide Transformers V2: Natural versus GenomeOcean-generated DNA classification DNABERT 2 and NTv 2 standard fine-tuning; GenomeOcean LoRA. Negatives generated by GenomeOcean itself. CAMI 2 train 18,000/validation 2,000; GTDB test 20,000; balanced natural/artificial 2 kb sequences. Aggregation: Not reported GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies · Table 2:, row Nucleotide Transformers V2, column Precision; XML row3 column2 |
Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.
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 2026-11-02-a7f03c9e55a5 · 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.
2 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Description No value recorded Context-only references | GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies No field-specific location recorded Version: preprint archived 2025-02-05 | missing or unspecified No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Name GenomeOcean natural/artificial sequence test Context-only references | GenomeOcean: An Efficient Genome Foundation Model Trained on Large-Scale Metagenomic Assemblies No field-specific location recorded Version: preprint archived 2025-02-05 | 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 2026-11-02-a7f03c9e55a5 · Record review: needs review
Stable ID: reported-dataset-0c3ac7efe99c37