0.13 ± 1 × 10 − 3 cosine_logfc
SAMS-VAE* · PerturBench CT-COSINE · Cosine similarity of log fold change
- Tested configuration
- SAMS-VAE*
- Task
- PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change
- Dataset subset
- Srivatsan20 (PerturBench split)
- Procedure
- Train on some cell types and predict drug effects in a held-out cell type, reported as the mean and one standard deviation over seeds.
- Evaluation
- SAMS-VAE* on PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change
- Evidence
- Author-reported evaluation · source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(SAMS-VAE ∗), column(Cosine, log fold change (LogFC))
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.
Methods and reproduction
PerturBench evaluation of SAMS-VAE* on covariate transfer on Srivatsan20, Cosine similarity of log fold change, scored with Cosine similarity of log fold change.
- task
- PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change
- configuration
- SAMS-VAE*
- dataset subset
- Srivatsan20 (PerturBench split)
- Split
- Not reported
- Adaptation
- Not reported
- Scoring implementation
- Cosine similarity of log fold change
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.
Evaluation results
Release 2026-09-17-134cd1815de8 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard. Where several source tables report the same metric, the published comparisons above offer a pooled view that names what it does not hold constant.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| SAMS-VAE* on PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change Configuration: SAMS-VAE*Task: PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold changeDataset subset: Srivatsan20 (PerturBench split) Train on some cell types and predict drug effects in a held-out cell type, reported as the mean and one standard deviation over seeds. Author-reported evaluation · Evaluation metadata: source checked | ||
| 0.13 ± 1 × 10 − 3 cosine_logfc Unit: fraction · Direction: higher | Uncertainty: type: standard deviation; value: 0.001 Scored: Not reported · Eligible: Not reported | source checkedPerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Table 2, row(SAMS-VAE ∗), column(Cosine, log fold change (LogFC)) Source checking is not 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
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Reported result 0.13 ± 1 × 10 − 3 Individual claims | PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis Table 2, row(SAMS-VAE ∗), column(Cosine, log fold change (LogFC)) Version: Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256 | source checked Deterministic parse of the pinned HTML tables, with row and column counts asserted · 2026-09-18 author reported Audit detailsSource checked, not reproduced. Metrics differ by task, so no composite score across tasks is computed or implied. Field: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. Extraction artifact SHA-256: |
Sources and history
Release 2026-09-17-134cd1815de8 · Record review: source checked
1 source records and release history
- PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis · Original source · Primary full-text snapshot retrieved 2026-09-17; exact bytes pinned by SHA-256
Technical metadata and extraction receipts
Stable ID: perturbench-result-sams-vae-ct-cosine-cosine-logfc
- areas
- cells-tissues
- tasks
- covariate transfer on Srivatsan20, Cosine similarity of log fold change
- metric
- cosine_logfc
- metric direction
- higher
- unit
- fraction
- printed value
- 0.13 ± 1 × 10 − 3
- numeric value
- 0.13
- uncertainty
- type: standard_deviation; value: 0.001
- source locator
- Table 2, row(SAMS-VAE ∗), column(Cosine, log fold change (LogFC))
- missing metadata
- denominator: unextracted; seeds: unreported
- review
- method: Deterministic parse of the pinned HTML tables, with row and column counts asserted; reviewer: Codex research agent; no human review claimed; date: 2026-09-18; artifact sha256: 5c4804565dd9faa17a11853a79e9847dcb6da73715b4c91f62e5b274cc79f186; retrieval url: https://arxiv.org/html/2408.10609v1; notes: Source checked, not reproduced. Metrics differ by task, so no composite score across tasks is computed or implied.