Condition: Naive vs Guided — both conditions, scored identically
Figures shown: agreement classified per page x question from each model's mean across 10 runs, naive and guided side by side

Page generated: 2026-08-16
Data (model runs) generated: 2026-04-11
Scoring inputs: ground truth cc2ed8f5, evaluate.py 845b70e9

Cross-Model Agreement: Naive vs Guided

Claude (thinking) runs at t1 (temperature=1); all other models at t0. Δ = guided − naive. Green = improvement, red = regression.

Agreement describes the ENSEMBLE of all 5 models on one page × question, using each model's mean score across its 10 runs. All correct / All wrong = every model scored above 0.9 / below 0.1. One wrong = all but one correct. One right = exactly one correct and every other model wrong. Mixed = anything else.

1. Per-Question Agreement Breakdown

Each class as a percentage of the page×question cells scored for that question — N is shown per condition because it varies by question (a question can be N/A on some pages), so the denominators are not all 39. Columns are agreement classes, NOT models — agreement is not a per-model quantity.

Q#DescriptionN nvN gdAll correctAll wrongOne wrongOne rightMixed
NaiveGuidedΔNaiveGuidedΔNaiveGuidedΔNaiveGuidedΔNaiveGuidedΔ
Q1Has date?393974.4%94.9%+20.5%0.0%0.0%±0.0%15.4%5.1%-10.3%0.0%0.0%±0.0%10.3%0.0%-10.3%
Q2Year?322828.1%42.9%+14.7%37.5%17.9%-19.6%12.5%7.1%-5.4%6.2%10.7%+4.5%15.6%21.4%+5.8%
Q3Two columns?393987.2%92.3%+5.1%0.0%0.0%±0.0%5.1%2.6%-2.6%0.0%0.0%±0.0%7.7%5.1%-2.6%
Q4Signed?393971.8%89.7%+17.9%0.0%0.0%±0.0%17.9%10.3%-7.7%0.0%0.0%±0.0%10.3%0.0%-10.3%
Q5Signature location393971.8%92.3%+20.5%0.0%0.0%±0.0%20.5%7.7%-12.8%0.0%0.0%±0.0%7.7%0.0%-7.7%
Q6Top-left mark?393946.2%51.3%+5.1%2.6%2.6%±0.0%15.4%20.5%+5.1%0.0%2.6%+2.6%35.9%23.1%-12.8%
Q7Archivist marks393910.3%30.8%+20.5%7.7%5.1%-2.6%28.2%12.8%-15.4%5.1%0.0%-5.1%48.7%51.3%+2.6%
Q8Quondam count393912.8%20.5%+7.7%2.6%2.6%±0.0%12.8%7.7%-5.1%2.6%0.0%-2.6%69.2%69.2%±0.0%
Q9Con count39397.7%10.3%+2.6%0.0%0.0%±0.0%7.7%17.9%+10.3%5.1%0.0%-5.1%79.5%71.8%-7.7%
Q10Words after con39397.7%5.1%-2.6%0.0%0.0%±0.0%30.8%25.6%-5.1%0.0%0.0%±0.0%61.5%69.2%+7.7%
Q11E conjunction count39392.6%10.3%+7.7%5.1%5.1%±0.0%7.7%2.6%-5.1%0.0%2.6%+2.6%84.6%79.5%-5.1%
Q12Words after e39392.6%10.3%+7.7%0.0%0.0%±0.0%12.8%5.1%-7.7%0.0%0.0%±0.0%84.6%84.6%±0.0%
Q13Named travelers39390.0%0.0%±0.0%5.1%0.0%-5.1%0.0%0.0%±0.0%0.0%2.6%+2.6%94.9%97.4%+2.6%
Q14Unnamed travelers39395.1%2.6%-2.6%5.1%2.6%-2.6%5.1%12.8%+7.7%2.6%5.1%+2.6%82.1%76.9%-5.1%
Q15Places of origin39390.0%2.6%+2.6%5.1%10.3%+5.1%2.6%0.0%-2.6%0.0%0.0%±0.0%92.3%87.2%-5.1%
Q16Unique places of stay39397.7%7.7%±0.0%2.6%2.6%±0.0%2.6%2.6%±0.0%0.0%0.0%±0.0%87.2%87.2%±0.0%
Q17Stay per column393910.3%10.3%±0.0%7.7%5.1%-2.6%0.0%7.7%+7.7%5.1%0.0%-5.1%76.9%76.9%±0.0%
Q18Stay w/ person name39392.6%2.6%±0.0%0.0%0.0%±0.0%23.1%12.8%-10.3%5.1%0.0%-5.1%69.2%84.6%+15.4%
Q19Bracket total39392.6%7.7%+5.1%0.0%0.0%±0.0%17.9%10.3%-7.7%2.6%0.0%-2.6%76.9%82.1%+5.1%
Q20Brackets per column39392.6%7.7%+5.1%0.0%0.0%±0.0%12.8%10.3%-2.6%7.7%0.0%-7.7%76.9%82.1%+5.1%
Q21Bracket annotation?373667.6%66.7%-0.9%8.1%5.6%-2.6%24.3%27.8%+3.5%0.0%0.0%±0.0%0.0%0.0%±0.0%
Q22Annotation text393910.3%12.8%+2.6%0.0%0.0%±0.0%20.5%15.4%-5.1%2.6%0.0%-2.6%66.7%71.8%+5.1%

2. Possible Ground Truth Errors

Cases where every model returned the SAME answer and all scored near zero — they agree with each other but not with ground truth, which is a strong signal of an annotation error. This is a set of cases, not a rate, so there is no Δ to take: what matters is whether a case appears in both conditions (robust signal) or only one (condition-specific).

In both conditions: 8  |  naive only: 3  |  guided only: 0

WherePageQ#DescriptionGround truthModel consensus
both4 · AVS IS 758-781 1767 02 01 p3.jpgQ21Bracket annotation?Ny
both22 · AVS IS 758-781 1768 01 02.jpgQ2Year?17691768
both23 · AVS IS 758-781 1768 01 09.jpgQ2Year?17691768
both24 · AVS IS 758-781 1768 01 16 p1.jpgQ2Year?17691768
both25 · AVS IS 758-781 1768 01 16 p2.jpgQ7Archivist marks10
both26 · AVS IS 758-781 1768 01 16 p3.jpgQ2Year?17691768
both6 · AVS IS 758-781 1768 03 26.jpgQ8Quondam count20
both34 · AVS IS 758-781 1770 05 17 p1.jpgQ6Top-left mark?Ny
naive only28 · AVS IS 758-781 1766 02.jpgQ2Year?17691768
naive only4 · AVS IS 758-781 1767 02 01 p3.jpgQ2Year?17681767
naive only22 · AVS IS 758-781 1768 01 02.jpgQ7Archivist marks10

3. Model Outlier Analysis

Uniquely right: this model correct while every other model was wrong — unique strength. Uniquely wrong: this model wrong while every other was correct — unique weakness. Both as a percentage of the cells that model was scored on.

ModelUniquely rightUniquely wrong
NaiveGuidedΔNaiveGuidedΔ
Claude0.9%1.8%+0.8%3.8%7.2%+3.4%
GPT0.7%1.3%+0.6%7.4%8.1%+0.7%
Gemini 2.54.7%7.4%+2.6%2.7%2.1%-0.6%
Gemini 3.18.4%6.4%-2.0%1.9%1.1%-0.8%
Claude (thinking)1.2%1.5%+0.4%0.4%0.0%-0.4%