Model type
Transformer representation pipeline; this record is the paper-specific evaluated configuration.
Configuration
BarcodeBERT (4–4-4)
BarcodeBERT learns DNA-barcode representations for taxonomic identification; this record is the four-layer, four-head, 4-mer configuration.
Sources
BarcodeBERT: transformers for biodiversity analyses · 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 1); 6 Discussion (paragraph 2)How it worksEvaluated procedure (conceptual)
Conceptual input–method–output guide. Check the procedure text and linked evaluation for fitted components, additional inputs and exact settings.
Sources
BarcodeBERT: transformers for biodiversity analyses · 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 4); 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 2)At a glance
Biological inputs
COI DNA barcode sequences
Sources
BarcodeBERT: transformers for biodiversity analyses · 4 Experiments/4.1 Experimental setup (paragraph 1); 7 Conclusions (paragraph 2)Outputs
Barcode embeddings and genus assignments through the evaluated 1-nearest-neighbour probe
Sources
BarcodeBERT: transformers for biodiversity analyses · 6 Discussion (paragraph 4); 4 Experiments/4.1 Experimental setup/4.1.2 Linear probing (paragraph 1)limited source coverage · Automated source review, 2026-09-16. All specifications and missing details
Evaluations and results
Release 2026-09-17-d277315f7d76 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| BarcodeBERT (4–4-4): unseen-species genus classification Configuration: BarcodeBERT (4–4-4)Task: unseen-species genus classificationDataset: DNA barcodes of unseen species genus-level nearest-neighbor probe on species unseen in training Author-reported evaluation · Evaluation metadata: needs review | ||
| 78.5% accuracy Unit: percent · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedBarcodeBERT: transformers for biodiversity analyses · Table 1, BarcodeBERT (4–4-4) row, unseen-species genus-level 1-NN Acc (%) column Source checking is not independent reproduction. |
How it works
How the evaluated method works
Non-overlapping 4-mer tokens pass through four transformer layers. Masked-token pretraining with random offsets learns barcode representations, which are average-pooled for a cosine-similarity nearest-neighbour genus probe.
Sources
BarcodeBERT: transformers for biodiversity analyses · 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 4); 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 2)What was evaluated
The linked evaluation record identifies BarcodeBERT (4–4-4): unseen-species genus classification. Its dataset, split, adaptation and evidence origin remain attached to the reported results.
Sources
BarcodeBERT: transformers for biodiversity analyses · The named evaluation’s methods and comparison table; exact preserved evaluation IDs: evaluation-b2-barcodebert-2026Strengths and limitations
Strengths and considerations
- Barcode-specific pretraining is evaluated on species absent from the training partition.
Sources
BarcodeBERT: transformers for biodiversity analyses · 4 Experiments/4.1 Experimental setup/4.1.1 Fine-tuning (paragraph 1); 4 Experiments/4.1 Experimental setup/4.1.2 Linear probing (paragraph 1)
Limitations and conditions
- The unseen-species genus probe retains known genera. Its accuracy is not evidence for identifying entirely new genera.
Sources
BarcodeBERT: transformers for biodiversity analyses · 4 Experiments/4.1 Experimental setup/4.1.3 1-NN probing (paragraph 1); 5 Results/5.4 Substitution token rate (paragraph 1)
Profile review details
Primary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction.
Stable record: reported-model-05103f72325fe5Specifications
Inputs, training, access and other details
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.
| Property | Description and evidence |
|---|---|
| Model type | Transformer representation pipeline; this record is the paper-specific evaluated configuration.SourcesBarcodeBERT: transformers for biodiversity analyses · 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 4); 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 2) |
| Architecture / procedure | Non-overlapping 4-mer tokens pass through four transformer layers. Masked-token pretraining with random offsets learns barcode representations, which are average-pooled for a cosine-similarity nearest-neighbour genus probe.SourcesBarcodeBERT: transformers for biodiversity analyses · 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 4); 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 2) |
| Biological inputs | COI DNA barcode sequencesSourcesBarcodeBERT: transformers for biodiversity analyses · 4 Experiments/4.1 Experimental setup (paragraph 1); 7 Conclusions (paragraph 2) |
| Outputs | Barcode embeddings and genus assignments through the evaluated 1-nearest-neighbour probeSourcesBarcodeBERT: transformers for biodiversity analyses · 6 Discussion (paragraph 4); 4 Experiments/4.1 Experimental setup/4.1.2 Linear probing (paragraph 1) |
| Parameters | An aggregate parameter total for this exact evaluated configuration is not established by the inspected sources. · Not reported in inspected sourcesSources (2)BarcodeBERT: transformers for biodiversity analyses; bioscan-ml/BarcodeBERT README.md · 3 Methods; 3 Methods/3.1 Dataset; 3 Methods/3.1 Dataset/3.1.1 Data pre-processing; 3 Methods/3.1 Dataset/3.1.2 Data partitioning; 3 Methods/3.2 Proposed method: BarcodeBERT; inspected for aggregate parameter count (component sizes are not added without an exact configuration); README.md at pinned repository revision |
| Known versions / configuration | 4–4–4SourcesBarcodeBERT: transformers for biodiversity analyses · Table vbag054-T5 (paragraph 1); Table vbag054-T4 (paragraph 1) |
| Training data / fitting | The raw BOLD reference contains about 1.5 million Canadian invertebrate barcodes. Filtering yields 965,289 sequences; the pretraining partition contains 893,744, separate from seen-species and unseen-species evaluation partitions.SourcesBarcodeBERT: transformers for biodiversity analyses · 3 Methods/3.1 Dataset/3.1.2 Data partitioning (paragraph 1); 3 Methods/3.1 Dataset (paragraph 1) |
| Context limits | Sequences are padded or truncated to 660 nucleotides.SourcesBarcodeBERT: transformers for biodiversity analyses · 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 3); 3 Methods/3.1 Dataset/3.1.1 Data pre-processing (paragraph 1) |
| Access | Official study implementation and usage documentation: https://github.com/bioscan-ml/BarcodeBERT/blob/00e492374eb748ed0f034a3a5981ab4eeffd92cc/README.md. This pinned documentation revision is not automatically the evaluated weight revision.Sourcesbioscan-ml/BarcodeBERT README.md · README.md; installation, model download and usage instructions |
| Code licence | MIT (study repository code at the cited revision; this does not establish every dependency or historical checkpoint licence).Sourcesbioscan-ml/BarcodeBERT LICENSE · LICENSE; complete licence text |
| Weights licence | The inspected model-access documentation does not explicitly identify terms for this exact evaluated checkpoint or fitted head; repository code terms are shown separately. · Not reported in inspected sourcesSourcesbioscan-ml/BarcodeBERT README.md · README.md; checkpoint/access documentation and licence scope |
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.
20 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Diagram caption Conceptual input–method–output guide. Check the procedure text and linked evaluation for fitted components, additional inputs and exact settings. Individual claims | BarcodeBERT: transformers for biodiversity analyses 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 4); 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 2) Version: journal full text in PMC | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Diagram steps ["COI DNA barcode sequences","BarcodeBERT (4–4-4)","Barcode embeddings and genus assignments through the evaluated 1-nearest-neighbour probe"] Individual claims | BarcodeBERT: transformers for biodiversity analyses 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 4); 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 2) Version: journal full text in PMC | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Diagram title Evaluated procedure (conceptual) Individual claims | BarcodeBERT: transformers for biodiversity analyses 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 4); 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 2) Version: journal full text in PMC | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Model type Transformer representation pipeline; this record is the paper-specific evaluated configuration. Individual claims | BarcodeBERT: transformers for biodiversity analyses 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 4); 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 2) Version: journal full text in PMC | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Architecture / procedure Non-overlapping 4-mer tokens pass through four transformer layers. Masked-token pretraining with random offsets learns barcode representations, which are average-pooled for a cosine-similarity nearest-neighbour genus probe. Individual claims | BarcodeBERT: transformers for biodiversity analyses 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 4); 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 2) Version: journal full text in PMC | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Weights licence The inspected model-access documentation does not explicitly identify terms for this exact evaluated checkpoint or fitted head; repository code terms are shown separately. Individual claims | bioscan-ml/BarcodeBERT README.md README.md; checkpoint/access documentation and licence scope Version: 00e492374eb748ed0f034a3a5981ab4eeffd92cc | unreported automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Biological inputs COI DNA barcode sequences Individual claims | BarcodeBERT: transformers for biodiversity analyses 4 Experiments/4.1 Experimental setup (paragraph 1); 7 Conclusions (paragraph 2) Version: journal full text in PMC | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Outputs Barcode embeddings and genus assignments through the evaluated 1-nearest-neighbour probe Individual claims | BarcodeBERT: transformers for biodiversity analyses 6 Discussion (paragraph 4); 4 Experiments/4.1 Experimental setup/4.1.2 Linear probing (paragraph 1) Version: journal full text in PMC | source checked automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Parameters An aggregate parameter total for this exact evaluated configuration is not established by the inspected sources. Individual claims | BarcodeBERT: transformers for biodiversity analyses 3 Methods; 3 Methods/3.1 Dataset; 3 Methods/3.1 Dataset/3.1.1 Data pre-processing; 3 Methods/3.1 Dataset/3.1.2 Data partitioning; 3 Methods/3.2 Proposed method: BarcodeBERT; inspected for aggregate parameter count (component sizes are not added without an exact configuration); README.md at pinned repository revision Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: journal full text in PMC | unreported automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Parameters An aggregate parameter total for this exact evaluated configuration is not established by the inspected sources. Individual claims | bioscan-ml/BarcodeBERT README.md 3 Methods; 3 Methods/3.1 Dataset; 3 Methods/3.1 Dataset/3.1.1 Data pre-processing; 3 Methods/3.1 Dataset/3.1.2 Data partitioning; 3 Methods/3.2 Proposed method: BarcodeBERT; inspected for aggregate parameter count (component sizes are not added without an exact configuration); README.md at pinned repository revision Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: 00e492374eb748ed0f034a3a5981ab4eeffd92cc | unreported automated source review · 2026-09-16 Audit detailsPrimary full text and the available official implementation/model documentation were inspected. Explanatory claims are source-backed; unresolved exact-configuration metadata is labelled explicitly. This is automated review, not a human review or independent benchmark reproduction. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Sources and history
Release 2026-09-17-d277315f7d76 · Record review: needs review
3 source records and release history
- BarcodeBERT: transformers for biodiversity analyses · Original source · journal full text in PMC
- bioscan-ml/BarcodeBERT README.md · Original source · 00e492374eb748ed0f034a3a5981ab4eeffd92cc
- bioscan-ml/BarcodeBERT LICENSE · Original source · 00e492374eb748ed0f034a3a5981ab4eeffd92cc
Technical metadata and extraction receipts
Stable ID: reported-model-05103f72325fe5
- areas
- dna-genomes
- entity level
- method
- version
- 4–4–4
- reported name
- BarcodeBERT (4–4-4)
- historical missing metadata
- checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract
- metadata review scope
- historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
- legacy kinds
- model
- entity classification
- review date: 2026-09-17; rationale: This source-scoped entry preserves the method/configuration actually named in an evaluation. It is neither a global family identity nor proof of an immutable checkpoint; the linked evaluation retains adaptation, fitting and scoring details.; source ids: barcodebert-2026; source locator: 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 4); 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 2) | 3 Methods/3.2 Proposed method: BarcodeBERT (paragraph 1); 6 Discussion (paragraph 2); ambiguities: Configuration means the source-labelled evaluated identity. It does not establish missing checkpoint hashes, default settings or equivalence to same-named records in other papers.