turridescartessschismlockes2017
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Extraction report — turridescartessschismlockes2017

What was processed

  • Target PDF: inbox/Turri-DESCARTESSSCHISMLOCKES-2017.pdf (ingested/processed via invoke ingest --only "Turri-DESCARTES" then invoke process turridescartessschismlockes2017).

Source hierarchy used (per instructions)

1) papers/turridescartessschismlockes2017/out/bundle.json 2) papers/turridescartessschismlockes2017/out/tables/* (none produced; see below) 3) papers/turridescartessschismlockes2017/out/fulltext.md and papers/turridescartessschismlockes2017/out/text.txt 4) papers/turridescartessschismlockes2017/out/tei.xml 5) Rendered page images (required to recover accurate numeric footnotes + bibliographic header where TEI/text were garbled): - papers/turridescartessschismlockes2017/out/images/pages/p001.png (bibliographic metadata) - papers/turridescartessschismlockes2017/out/images/pages/p008.png (Experiment 1 N/design) - papers/turridescartessschismlockes2017/out/images/pages/p009.png (scale + item examples) - papers/turridescartessschismlockes2017/out/images/pages/p010.png (Experiment 2 N + results context) - papers/turridescartessschismlockes2017/out/images/pages/p011.png (Experiment 2 item wording) - papers/turridescartessschismlockes2017/out/images/pages/p016.png (NOTES: sample/recruitment + Exp1 t/Beta for stakes→knowledge) - papers/turridescartessschismlockes2017/out/images/pages/p017.png (NOTES: Exp2 t/Beta for stakes→knowledge)

Table extraction gap

  • out/tables/ is empty: both Camelot and Tabula outputs were fully filtered out (see out/bundle.json).
  • Consequence: numeric results for NOTES and Appendix regression tables had to be recovered from out/tei.xml and/or rendered page images.

Effect size limitations (why d and v are null)

The paper does not report low- vs high-stakes knowledge descriptive statistics (means/SDs, or split Ns) for either experiment, and the reported stakes→knowledge results are given only as regression/t statistics in NOTES (Exp1 Note 11; Exp2 Note 31). The direction of the low-vs-high knowledge difference cannot be unambiguously determined from the available outputs (coding of the condition variable is not stated, and knowledge means are not reported). Per extraction rules, I did not guess the sign or split Ns, so effect_size.d and effect_size.v are null with needs_review: true.

Required manual fields

[FIELD: exp1_stakes_knowledge_direction] - Needed to compute signed SMD for Experiment 1. - Please provide either: - the mean knowledge score in low vs high stakes (plus SD/SE and group Ns), or - an explicit statement from the paper/supplement showing which direction the stakes manipulation moves knowledge scores (low > high or high > low) for the overall stakes contrast.

[FIELD: exp2_stakes_knowledge_direction] - Needed to compute signed SMD for Experiment 2. - Please provide either: - the mean knowledge score in low vs high stakes (plus SD/SE and group Ns), or - an explicit statement from the paper/supplement showing which direction the stakes manipulation moves knowledge scores (low > high or high > low) for the overall stakes contrast.

[FIELD: exp1_split_n_low_high] - If you can locate split Ns for low vs high stakes in Experiment 1 (collapsed across other factors), provide n_low and n_high. - This will enable computing d and v from the reported t(600) = −2.85 (Note 11) in a reproducible analysis/effect_sizes.qmd.

[FIELD: exp2_split_n_low_high] - If you can locate split Ns for low vs high stakes in Experiment 2, provide n_low and n_high. - This will enable computing d and v from the reported t(300) = 0.27 (Note 31) in a reproducible analysis/effect_sizes.qmd.