rewirebio.iobenchmarks
Result

F1 (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound)) of OpenSpliceAI (Fortier et al. 2026) on Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)

0.741 F1 (delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound))

Methods

Tested configuration
OpenSpliceAI (Fortier et al. 2026)
Protocol
Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Dataset
Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
Procedure
Splice-altering variant classification, Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3) (Fortier et al. Table 2)
Evaluation
OpenSpliceAI on the Riepe et al. functional splice assay variants (213 variants, ABCA4 and MYBPC3)
Coverage
Not reported scored / Not reported eligible
Uncertainty
Not reported by the source
Evidence
Independent external evaluation · source checkedAnalyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026) · Table 2, row 'OpenSpliceAI', column 'F1'

A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: source checked. Source checked does not mean independently reproduced.

Reproduction

Split
Whole set
Adaptation
delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound)
Scoring implementation
Sensitivity, specificity, F1 = 2TP/(2TP+FP+FN), balanced accuracy = mean of sensitivity and specificity (Equations 1 to 4)

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.

1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statementOriginal source and locationReview and provenance
Reported result
0.741
Individual claims
Analyzing the performance of deep learning splice prediction algorithms (Fortier, Rudy and Scherer, PLOS One 2026)

Original source ↗

Table 2, row 'OpenSpliceAI', column 'F1'

Version: PLOS One 21(5):e0348885, published 2026-05-13; PMC13170886 full-text XML
Retrieved: 2026-10-11T21:37:04Z

source checked

["source-hash-verification","independent-cell-check","automated-source-review"] · 2026-10-12

independent paper

Audit details

Checked by reviewer-scnv against the pinned source; verdict in docs/reviews/use-cases/splicing-cnv-use-cases-2026-10-12.md and in this batch's review.md.

Field: attributes.printed_value

Source artifact SHA-256: dffe74cee7782cbdfdbc9423cf00f0a846b3d720b90b10e9732d6f768c485176

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Extraction artifact SHA-256: dffe74cee7782cbdfdbc9423cf00f0a846b3d720b90b10e9732d6f768c485176

Extraction artifact

Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: rna-splicing-20261011-fortier2026-result-riepe-openspliceai-f1-score

metric
f1-score
metric direction
higher
unit
fraction
printed value
0.741
source locator
Table 2, row 'OpenSpliceAI', column 'F1'
review
method: source-hash-verification; independent-cell-check; automated-source-review; reviewer: claude; reviewer note: Independent Claude review agent reviewer-scnv; did not extract this batch; no human review claimed; date: 2026-10-12; artifact sha256: dffe74cee7782cbdfdbc9423cf00f0a846b3d720b90b10e9732d6f768c485176; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC13170886/fullTextXML; method note: Parsed the pinned PMC13170886 article XML (table-wrap elements) with a stdlib reader; caption, header row and the four row labels asserted for each table; printed cell text kept exactly.; note: Checked by reviewer-scnv against the pinned source; verdict in docs/reviews/use-cases/splicing-cnv-use-cases-2026-10-12.md and in this batch's review.md.
numeric value
0.741
metric qualifier
delta score for each variant's effect type; threshold optimised per gene and algorithm for maximum accuracy (upper bound)
missing metadata
uncertainty: reason: unreported
Related records

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