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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 % · higher Uncertainty: Not reported 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 % · higher Uncertainty: Not reported 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 % · higher Uncertainty: Not reported 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 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 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 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 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 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 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 2026-09-29-06401fd5b220.
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4 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.split Not reported 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 |
| attributes.version Not reported 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 |
| 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 |
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Release 2026-09-29-06401fd5b220 · Record review: needs review
Stable ID: reported-dataset-0c3ac7efe99c37