rewire.itbenchmarks
Evaluation

Baseline CNN (PyTorch) on Genomic Benchmarks DEMO-CODING-VS-INTERGENOMIC-SEQS-F1: demo_coding_vs_intergenomic_seqs, F1 score

Genomic Benchmarks evaluation of Baseline CNN (PyTorch) on demo_coding_vs_intergenomic_seqs, F1 score, scored with F1 score.

Research readiness

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

Release 2026-09-29-06401fd5b220 · 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 · 1 result. Different protocols are not a single leaderboard.

Filter evaluations

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Baseline CNN (PyTorch)Task: Genomic Benchmarks DEMO-CODING-VS-INTERGENOMIC-SEQS-F1: demo_coding_vs_intergenomic_seqs, F1 score
Dataset subset: demo_coding_vs_intergenomic_seqs (Genomic Benchmarks split)
86.8% f1
percent · higher

Uncertainty: Not reported

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

Baseline CNN (PyTorch) on Genomic Benchmarks DEMO-CODING-VS-INTERGENOMIC-SEQS-F1: demo_coding_vs_intergenomic_seqs, F1 score

The paper's own three-layer convolutional baseline, trained on each dataset's training split and scored on its test split. Architecture is in Table 1.

Aggregation: Not reported

Genomic benchmarks: a collection of datasets for genomic sequence classification · Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)

Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.

Evaluation procedure

The paper's own three-layer convolutional baseline, trained on each dataset's training split and scored on its test split. Architecture is in Table 1.

Configuration
Baseline CNN (PyTorch)
Task
Genomic Benchmarks DEMO-CODING-VS-INTERGENOMIC-SEQS-F1: demo_coding_vs_intergenomic_seqs, F1 score
Dataset subset
demo_coding_vs_intergenomic_seqs (Genomic Benchmarks split)
origin
Author-reported evaluation
configuration
Not reported
protocol id
genomic-benchmarks-task-demo-coding-vs-intergenomic-seqs-f1
metric implementation
F1 score

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

Reproduction

Split
Not reported
Adaptation
Not reported
Scoring implementation
F1 score

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.

13 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statementOriginal source and locationReview and provenance
attributes.comparison.metric_implementation
F1 score
Context-only references
Genomic benchmarks: a collection of datasets for genomic sequence classification

Original source ↗

Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)

Version: PMC10150520
Retrieved: 2026-09-16T21:07:13.681402+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.metric_implementation

Source artifact SHA-256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

attributes.comparison.protocol_id
genomic-benchmarks-task-demo-coding-vs-intergenomic-seqs-f1
Context-only references
Genomic benchmarks: a collection of datasets for genomic sequence classification

Original source ↗

Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)

Version: PMC10150520
Retrieved: 2026-09-16T21:07:13.681402+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.protocol_id

Source artifact SHA-256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

attributes.evaluation_group_id
evaluation-group-genomic-benchmarks-table-2-baseline-cnn-pytorch-demo-coding-vs-intergenomic-seqs
Context-only references
Genomic benchmarks: a collection of datasets for genomic sequence classification

Original source ↗

Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)

Version: PMC10150520
Retrieved: 2026-09-16T21:07:13.681402+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.evaluation_group_id

Source artifact SHA-256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

attributes.evaluation_group_name
Baseline CNN (PyTorch) · demo_coding_vs_intergenomic_seqs
Context-only references
Genomic benchmarks: a collection of datasets for genomic sequence classification

Original source ↗

Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)

Version: PMC10150520
Retrieved: 2026-09-16T21:07:13.681402+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.evaluation_group_name

Source artifact SHA-256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

attributes.evaluation_group_note
Counts source-reported evaluation scopes, not individual runs or assays.
Context-only references
Genomic benchmarks: a collection of datasets for genomic sequence classification

Original source ↗

Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)

Version: PMC10150520
Retrieved: 2026-09-16T21:07:13.681402+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.evaluation_group_note

Source artifact SHA-256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

attributes.origin
author_reported
Context-only references
Genomic benchmarks: a collection of datasets for genomic sequence classification

Original source ↗

Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)

Version: PMC10150520
Retrieved: 2026-09-16T21:07:13.681402+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.origin

Source artifact SHA-256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

attributes.protocol
The paper's own three-layer convolutional baseline, trained on each dataset's training split and scored on its test split. Architecture is in Table 1.
Context-only references
Genomic benchmarks: a collection of datasets for genomic sequence classification

Original source ↗

Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)

Version: PMC10150520
Retrieved: 2026-09-16T21:07:13.681402+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.protocol

Source artifact SHA-256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

attributes.source_locator
Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)
Context-only references
Genomic benchmarks: a collection of datasets for genomic sequence classification

Original source ↗

Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)

Version: PMC10150520
Retrieved: 2026-09-16T21:07:13.681402+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.source_locator

Source artifact SHA-256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

description
Genomic Benchmarks evaluation of Baseline CNN (PyTorch) on demo_coding_vs_intergenomic_seqs, F1 score, scored with F1 score.
Context-only references
Genomic benchmarks: a collection of datasets for genomic sequence classification

Original source ↗

Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)

Version: PMC10150520
Retrieved: 2026-09-16T21:07:13.681402+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: description

Source artifact SHA-256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

Relationship: benchmark
genomic-benchmarks-task-demo-coding-vs-intergenomic-seqs-f1
Context-only references
Genomic benchmarks: a collection of datasets for genomic sequence classification

Original source ↗

Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)

Version: PMC10150520
Retrieved: 2026-09-16T21:07:13.681402+00:00

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: links:benchmark:genomic-benchmarks-task-demo-coding-vs-intergenomic-seqs-f1

Source artifact SHA-256: bda6fe51e3363a5d2fc8d265ca536897d3e83eb76458fc95066c21933e3bd0c0

Hash scope: Exact retrieved primary paper artifact bytes.

Inspected artifact

Sources and history

View linked audit checks and correction history

Release 2026-09-29-06401fd5b220 · Record review: source checked

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: genomic-benchmarks-evaluation-baseline-cnn-pytorch-demo-coding-vs-intergenomic-seqs-f1

areas
dna-genomes
tasks
demo_coding_vs_intergenomic_seqs, F1 score
origin
author_reported
protocol
The paper's own three-layer convolutional baseline, trained on each dataset's training split and scored on its test split. Architecture is in Table 1.
comparison
protocol id: genomic-benchmarks-task-demo-coding-vs-intergenomic-seqs-f1; metric implementation: F1 score
missing metadata
checkpoint revision: unreported; seeds: unreported; budget: unreported; split manifest: unextracted
source locator
Table 2, row(demo_coding_vs_intergenomic_seqs), column(Baseline CNN (PyTorch) F1 score)
evaluation group id
evaluation-group-genomic-benchmarks-table-2-baseline-cnn-pytorch-demo-coding-vs-intergenomic-seqs
evaluation group name
Baseline CNN (PyTorch) · demo_coding_vs_intergenomic_seqs
evaluation group note
Counts source-reported evaluation scopes, not individual runs or assays.
Related records

Suggest a correction