Nucleotide Transformer + NN (middle): uses model Nucleotide Transformer
Explicit two-component pipeline; uses relationship preserves identity of the neural-network head.
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.
12 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.field links:uses_model:discovery-model-nucleotide-transformer Context-only references | instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2dc37b86e16a6970fbc731751f7719d9f676f7f9 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| attributes.field links:uses_model:discovery-model-nucleotide-transformer Context-only references | Benchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: journal full text in PMC | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.source_locator Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Context-only references | instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2dc37b86e16a6970fbc731751f7719d9f676f7f9 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| attributes.source_locator Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Context-only references | Benchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: journal full text in PMC | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.target_id discovery-model-nucleotide-transformer Context-only references | instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2dc37b86e16a6970fbc731751f7719d9f676f7f9 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| attributes.target_id discovery-model-nucleotide-transformer Context-only references | Benchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: journal full text in PMC | 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 Explicit two-component pipeline; uses relationship preserves identity of the neural-network head. Context-only references | instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2dc37b86e16a6970fbc731751f7719d9f676f7f9 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| description Explicit two-component pipeline; uses relationship preserves identity of the neural-network head. Context-only references | Benchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: journal full text in PMC | 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 reported-model-1a67087ac262c5 Context-only references | instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 2dc37b86e16a6970fbc731751f7719d9f676f7f9 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Relationship: subject reported-model-1a67087ac262c5 Context-only references | Benchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2) Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: journal full text in PMC | 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
View linked audit checks and correction history
Release 2026-09-29-06401fd5b220 · Record review: source checked
2 source records and release history
- Benchmarking genomic foundation models for binary classification of gene fusion breakpoints from DNA sequences · Original source · journal full text in PMC
- instadeepai/nucleotide-transformer: docs/nucleotide_transformer.md · Original source · 2dc37b86e16a6970fbc731751f7719d9f676f7f9
Technical metadata and extraction receipts
Stable ID: model-evaluation-identity-2cad0eb6c45125866627
- areas
- dna-genomes
- field
- links:uses_model:discovery-model-nucleotide-transformer
- target id
- discovery-model-nucleotide-transformer
- source locator
- Fusion breakpoint primary paper Classification performance and Discussion; frozen Nucleotide Transformer embeddings + trained NN head | Existing reviewed locator: Discussion (paragraph 2); Results/Classification performance (paragraph 2)
- review
- method: automated_source_review; date: 2026-09-23; note: Source review establishes this relationship only. Exact evaluated configurations and original numerical review status remain unchanged. Explicit two-component pipeline; uses relationship preserves identity of the neural-network head.
Related records
- subject: Nucleotide Transformer + NN (middle)