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Verified AI benchmark

Elicit SLR — Abstract Screening Sensitivity Leaderboard

Sensitivity/recall for abstract screening on the published Cochrane-derived evaluation set.

Semantic classUnclassified CategoryResearch DirectionHigher is better VersionPublished 2026-05-06 Verified entities1
How to interpret this leaderboard

What this benchmark does—and does not—measure

This leaderboard preserves the benchmark's own metric, source and test date. Results are comparable only within the same benchmark definition and semantic class; missing data is never treated as a zero.

Method & source

Unit
%
Results
1
Latest test
May 6, 2026
Distinct source links
1
Open official methodology / source
Leading score96.89 %
Entities at top score1
Evidence freshnessMay 6, 2026
Verified results

Elicit SLR — Abstract Screening Sensitivity rankings

Only the latest verified result for each listed entity is shown. Equal scores receive the same displayed rank.

RankModel / ToolScoreTestedEvidence
#1 Elicit 96.89% May 6, 2026 Elicit
Limitations

What to keep in mind

A benchmark is one evidence signal, not a universal product verdict. Test conditions, benchmark versions, source methodology and date can all affect interpretation. Compare shared benchmarks and current product evidence before making a model or tool decision.

Freshness

Why dates and sources are shown

AI Orbit retains the source and tested date for each verified result so readers can judge whether evidence is current enough for their use case. Older evidence is not silently presented as a new test.