Enum: EvidenceSource¶
Which locator placed a set of spans in the source text.
URI: neurostudy_ex:EvidenceSource
Permissible Values¶
| Value | Meaning | Description |
|---|---|---|
| model_quote | None | The extraction model was shown the paper and asked to copy the supporting sen... |
| retriever | None | The cross-encoder ranked sentence and table-row units against the value and c... |
| literal_match | None | The value occurs exactly once in the document and this is the clause around t... |
| repair_pass | None | A later pass over the built record placed this span: either resolving the val... |
Slots¶
| Name | Description |
|---|---|
| source | Which locator produced this set |
Identifier and Mapping Information¶
Schema Source¶
- from schema: https://neurostuff.org/schemas/neuroimaging-study-extraction
LinkML Source¶
name: EvidenceSource
description: Which locator placed a set of spans in the source text.
from_schema: https://neurostuff.org/schemas/neuroimaging-study-extraction
rank: 1000
permissible_values:
model_quote:
text: model_quote
description: The extraction model was shown the paper and asked to copy the supporting
sentence; `build` then resolved that quote to offsets.
retriever:
text: retriever
description: The cross-encoder ranked sentence and table-row units against the
value and cleared its margin gate, contributing a second set the model's quote
did not already cover.
literal_match:
text: literal_match
description: 'The value occurs exactly once in the document and this is the clause
around that one occurrence, found by search before any model was asked. Distinct
from `model_quote` because nothing read the paper to choose it, and from `repair_pass`
because it is the first thing tried rather than a later correction. The strongest
of the four to read: the span provably contains the value, and re-running the
pass returns the same span rather than another sample.'
repair_pass:
text: repair_pass
description: 'A later pass over the built record placed this span: either resolving
the value''s own text against the document, or applying a resolution the extraction
model gave with a quote. Distinct from `model_quote` because the extractor did
not cite it, and from `retriever` because nothing ranked it -- so a reviewer
weighing it knows it rests on a pass that came after the reading it supports.'