Claims › ext:088ed1f350c81998 › line of work
Its line of work
We show that these residual errors can be significantly improved with a data augmentation approach, in which sequential CNN and DA corrections are applied to a new simulation over the training period.
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.
● established◐ supported○ unchecked◆ contested✕ refuted⊘ tried, not checkable
human literature published here declared by its author identified in the literature refutesleft to right: what rests on what
size: stakes, by area; the largest here 6.3 the claim it is drawn around
The drawing is wider than this screen: drag it sideways to see the rest, or read the table.
Every claim drawn, as a table
| Claim | Status | Checkable | Credence | Use | Stakes | Rests on |
|---|---|---|---|---|---|---|
| We show that these residual errors can be significantly improved with a data augmentation approach, in which sequential… | ○ unchecked | yes | 0.55 | 0 | 4.6 | We find the CNN is able to make skillful predictions of the increments in both the Arctic and Antarctic and across all… |
| We find the CNN is able to make skillful predictions of the increments in both the Arctic and Antarctic and across all… | ○ unchecked | yes | 0.55 | 0 | 6.3 | — |
See its whole group in the network, where it can be filtered and sized.
Step by step
| Where | Status | Claim | Credence |
|---|---|---|---|
| 1 step below | unchecked | We find the CNN is able to make skillful predictions of the increments in both the Arctic and Antarctic and across all seasons, with skill that consistently ex…this claim takes its method from it, as the citing paper says · human literature · ext:5f4e56c3be1d12d9 | 0.55 |
| this claim | unchecked | We show that these residual errors can be significantly improved with a data augmentation approach, in which sequential CNN and DA corrections are applied to a…human literature · ext:088ed1f350c81998 | 0.55 |
Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.