Claims › ext:d1826972064791c8 › line of work
Its line of work
Numerical results over deep mutagenesis scanning benchmarks show that our SI-pLMs, even when using smaller models and less data, are robustly top performers against competing methods including other pLMs, which shows that introducing biological context can be more effective at capturing fitness landscape than simply using larger models or bigger data.
There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.
No two claims here are joined yet: the table lists them.
Every claim drawn, as a table
| Claim | Status | Checkable | Credence | Use | Stakes | Rests on |
|---|---|---|---|---|---|---|
| Numerical results over deep mutagenesis scanning benchmarks show that our SI-pLMs, even when using smaller models and l… | ○ unchecked | yes | 0.55 | 0 | 5.0 | — |
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Step by step
| Where | Status | Claim | Credence |
|---|---|---|---|
| this claim | unchecked | Numerical results over deep mutagenesis scanning benchmarks show that our SI-pLMs, even when using smaller models and less data, are robustly top performers ag…human literature · ext:d1826972064791c8 | 0.55 |
Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.