# Extraction report: spatansemenescundfeelingcertaintyshiftiness

## Summary
- Pipeline outputs used:
  - Numeric values: `papers/spatansemenescundfeelingcertaintyshiftiness/out/tables/camelot_stream_p10_t1.csv` (Table 5)
  - Vignette/method/test-stat wording: `papers/spatansemenescundfeelingcertaintyshiftiness/out/fulltext.md`
- No direct PDF or rendered page images were consulted.
- Effect sizes computed in `papers/spatansemenescundfeelingcertaintyshiftiness/analysis/effect_sizes.qmd` (rendered to `papers/spatansemenescundfeelingcertaintyshiftiness/analysis/effect_sizes.html`).
- Output YAML: `papers/spatansemenescundfeelingcertaintyshiftiness/spatansemenescundfeelingcertaintyshiftiness.yaml`

## Manual interventions / PDF use (required disclosure)
- None.

## Open questions / uncertainties

### [ANALYST_INPUT: YEAR_PUBLICATION_VENUE]
The pipeline outputs contain conflicting/partial publication metadata:
- TEI header includes DOI `10.4396/2024205` and a submission note: “Received 29 07 2024; accepted 05 12 2024.”
- The extracted Markdown header line reads “Published on February 10, 2014” (likely an extraction artifact).

Please confirm:
1) What to code for `paper.year` (currently `2024`) and `paper.published` (currently `Yes`), and
2) The correct venue/journal info (if any) to include in `paper.citation`.

- Your answer:

### [ANALYST_INPUT: EFFECT_GRANULARITY_CONFIRMATION]
This extraction encodes **four** independent stakes contrasts (low vs high stakes) split by:
- Certainty grouping (Uncertain vs Certain), and
- Error-possibility mention (low error vs high error).

The paper also reports a stakes comparison collapsed across error within Uncertain and within Certain subsamples (t-tests), which is **not** separately encoded here to avoid overlapping/duplicated samples.

Please confirm that keeping the 4 split effects (`s1_e1`–`s1_e4`) is the desired meta-analytic granularity for this project.

- Your answer:

### [ANALYST_INPUT: EVIDENCE_MODERATOR_CODING]
Evidence was coded as `External` (Tracy’s evidence comes from studying a political map). If you prefer coding this as `First Person` (memory/learning) or `null`, please indicate the intended rule for map/study-based evidence in this project.

- Your answer: