Condition: Naive vs Guided — both conditions, scored identically
Figures shown: mean accuracy across all 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

Naive vs Guided: Model Comparison

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

Overall Accuracy

Question-weighted: every score from all 22 questions × all images × all 10 runs pooled into a single mean. Compare with the category-weighted figures further down, which run higher.

ModelNaiveGuidedΔ
Claude56.6%55.4%-1.2%
GPT47.7%51.0%+3.2%
Gemini 2.564.5%68.3%+3.8%
Gemini 3.170.6%71.7%+1.2%
Claude (thinking)63.5%66.8%+3.3%

Per-Question Accuracy by Category

Char accuracy for Q5 (string), Q10, Q12, Q22 (text arrays).

Q#DescriptionClaudeGPTGemini 2.5Gemini 3.1Claude (thinking)
NaiveGuidedΔNaiveGuidedΔNaiveGuidedΔNaiveGuidedΔNaiveGuidedΔ
Feature identification
Category mean90.7%92.0%+1.3%85.8%91.2%+5.4%90.7%94.7%+4.1%95.5%95.9%+0.5%90.7%95.2%+4.5%
Q1 BoolHas date?92.3%100.0%+7.7%77.4%97.7%+20.3%97.4%97.4%±0.0%100.0%100.0%±0.0%97.2%100.0%+2.8%
Q3 BoolTwo columns?92.3%92.2%±0.0%97.2%97.4%+0.3%92.8%97.9%+5.1%95.6%100.0%+4.4%94.1%99.2%+5.1%
Q4 BoolSigned?97.4%92.7%-4.7%92.8%100.0%+7.2%83.1%97.4%+14.3%100.0%100.0%±0.0%95.1%100.0%+4.9%
Q6 BoolTop-left mark?74.4%77.7%+3.4%80.3%83.8%+3.6%90.0%91.0%+1.0%87.2%84.1%-3.1%70.3%79.0%+8.7%
Q21 BoolBracket annotation?97.1%97.1%±0.0%81.2%77.1%-4.1%89.9%89.9%±0.0%94.4%95.5%+1.1%96.6%97.7%+1.1%
Spatial location
Category mean97.4%92.7%-4.7%92.8%100.0%+7.2%84.4%100.0%+15.6%100.0%100.0%±0.0%95.1%100.0%+4.9%
Q5 StrSignature location97.4%92.7%-4.7%92.8%100.0%+7.2%84.4%100.0%+15.6%100.0%100.0%±0.0%95.1%100.0%+4.9%
Counting
Category mean36.6%34.2%-2.4%25.3%28.2%+2.8%48.1%52.5%+4.5%53.5%55.6%+2.1%49.4%52.3%+2.9%
Q7 IntArchivist marks55.1%67.6%+12.5%46.7%52.3%+5.6%51.5%71.6%+20.0%62.6%72.3%+9.7%56.4%65.4%+9.0%
Q8 IntQuondam count48.7%49.5%+0.8%24.9%25.9%+1.0%44.6%46.8%+2.2%67.2%65.9%-1.3%58.5%60.3%+1.8%
Q9 IntCon count47.4%45.3%-2.1%23.1%22.6%-0.5%64.4%71.8%+7.5%69.5%69.0%-0.5%69.7%71.5%+1.8%
Q11 IntE conjunction count22.6%24.4%+1.8%28.5%32.6%+4.1%17.7%32.0%+14.3%45.4%47.2%+1.8%39.2%45.6%+6.4%
Q13 IntNamed travelers13.6%4.7%-8.9%10.0%15.4%+5.4%40.5%37.2%-3.3%20.0%31.3%+11.3%44.9%50.3%+5.4%
Q14 IntUnnamed travelers35.4%35.2%±0.0%15.6%16.2%+0.5%48.2%53.7%+5.5%47.9%53.1%+5.1%47.2%50.8%+3.6%
Q15 IntPlaces of origin30.3%37.6%+7.3%2.6%5.9%+3.3%33.6%33.3%-0.3%34.4%22.1%-12.3%31.0%34.4%+3.3%
Q16 IntUnique places of stay37.9%18.4%-19.6%29.7%32.1%+2.3%45.4%51.7%+6.3%52.6%50.0%-2.6%47.7%49.0%+1.3%
Q18 IntStay w/ person name42.8%33.2%-9.7%12.8%18.2%+5.4%81.3%86.6%+5.3%62.6%67.4%+4.9%60.0%46.2%-13.8%
Q19 IntBracket total32.3%26.2%-6.1%59.5%60.8%+1.3%53.3%40.3%-13.0%72.8%77.4%+4.6%39.5%50.0%+10.5%
Transcription
Category mean75.9%73.9%-2.0%55.2%55.6%+0.5%74.8%77.0%+2.2%83.7%83.9%±0.0%78.3%78.3%±0.0%
Q10 TextWords after con86.0%81.4%-4.6%60.9%62.6%+1.6%92.2%92.0%±0.0%91.5%91.0%-0.5%88.8%88.0%-0.8%
Q12 TextWords after e58.6%54.7%-3.9%41.1%44.3%+3.2%51.8%55.3%+3.5%68.7%70.4%+1.8%62.5%62.3%±0.0%
Q22 TextAnnotation text83.2%85.7%+2.5%63.4%60.0%-3.4%80.4%83.8%+3.4%90.8%90.1%-0.7%83.6%84.5%+0.9%
Counting + Spatial location
Category mean28.3%27.7%-0.6%37.2%31.5%-5.6%55.6%51.8%-3.8%61.4%62.3%+0.9%35.0%41.5%+6.5%
Q17 PairStay per column31.0%31.6%+0.6%22.3%15.4%-6.9%60.3%64.1%+3.8%50.0%47.2%-2.8%34.4%40.3%+5.9%
Q20 PairBrackets per column25.6%23.8%-1.8%52.1%47.7%-4.4%51.0%39.5%-11.5%72.8%77.4%+4.6%35.6%42.8%+7.2%
Transcription + Rule-based resolution
Category mean45.2%50.4%+5.2%39.1%59.1%+20.0%67.9%71.9%+4.1%67.5%67.9%+0.4%48.1%50.7%+2.7%
Q2 IntYear?45.2%50.4%+5.2%39.1%59.1%+20.0%67.9%71.9%+4.1%67.5%67.9%+0.4%48.1%50.7%+2.7%

Summary by Question Category

Mean accuracy across all questions in each category. Δ = guided − naive.

CategoryQuestionsClaudeGPTGemini 2.5Gemini 3.1Claude (thinking)
NaiveGuidedΔNaiveGuidedΔNaiveGuidedΔNaiveGuidedΔNaiveGuidedΔ
Feature identificationQ1, Q3, Q4, Q6, Q2190.7%92.0%+1.3%85.8%91.2%+5.4%90.7%94.7%+4.1%95.5%95.9%+0.5%90.7%95.2%+4.5%
Spatial locationQ597.4%92.7%-4.7%92.8%100.0%+7.2%84.4%100.0%+15.6%100.0%100.0%±0.0%95.1%100.0%+4.9%
CountingQ7, Q8, Q9, Q11, Q13, Q14, Q15, Q16, Q18, Q1936.6%34.2%-2.4%25.3%28.2%+2.8%48.1%52.5%+4.5%53.5%55.6%+2.1%49.4%52.3%+2.9%
TranscriptionQ10, Q12, Q2275.9%73.9%-2.0%55.2%55.6%+0.5%74.8%77.0%+2.2%83.7%83.9%±0.0%78.3%78.3%±0.0%
Counting + Spatial locationQ17, Q2028.3%27.7%-0.6%37.2%31.5%-5.6%55.6%51.8%-3.8%61.4%62.3%+0.9%35.0%41.5%+6.5%
Transcription + Rule-based resolutionQ245.2%50.4%+5.2%39.1%59.1%+20.0%67.9%71.9%+4.1%67.5%67.9%+0.4%48.1%50.7%+2.7%

Overall Accuracy (category-weighted)

Mean of the six category means above, so each category carries equal weight regardless of how many questions it contains — Spatial location is one question (Q5), Counting is ten. This runs higher than the question-weighted figures in the first table because the single-question categories are among the highest-scoring.

ModelNaiveGuidedΔ
Claude62.4%61.8%-0.5%
GPT55.9%60.9%+5.0%
Gemini 2.570.2%74.7%+4.4%
Gemini 3.176.9%77.6%+0.7%
Claude (thinking)66.1%69.7%+3.6%

Notable Shifts (Guided vs Naive, shared models)

Largest improvements

ModelCategoryQ#NaiveGuidedΔ
GPTFeature identificationQ177.4%97.7%+20.3%
Gemini 2.5CountingQ751.5%71.6%+20.0%
GPTTranscription + Rule-based resolutionQ239.1%59.1%+20.0%
Gemini 2.5Spatial locationQ584.4%100.0%+15.6%
Gemini 2.5CountingQ1117.7%32.0%+14.3%
Gemini 2.5Feature identificationQ483.1%97.4%+14.3%
ClaudeCountingQ755.1%67.6%+12.5%
Gemini 3.1CountingQ1320.0%31.3%+11.3%

Largest regressions

ModelCategoryQ#NaiveGuidedΔ
ClaudeCountingQ1637.9%18.4%-19.6%
Claude (thinking)CountingQ1860.0%46.2%-13.8%
Gemini 2.5CountingQ1953.3%40.3%-13.0%
Gemini 3.1CountingQ1534.4%22.1%-12.3%
Gemini 2.5Counting + Spatial locationQ2051.0%39.5%-11.5%
ClaudeCountingQ1842.8%33.2%-9.7%
ClaudeCountingQ1313.6%4.7%-8.9%
GPTCounting + Spatial locationQ1722.3%15.4%-6.9%