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User 1e1f596b7ca7c087f1b31615fca317fd Responses

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Survey Response Breakdown - Survey 182

User ID	Submitted At	Duration	Ideal budget	cosine_similarity	kl	View Response
1e1f596b7... 1e1f596b7ca7c087f1b31615fca317fd	26-07-2026 14:59	78s	[30, 20, 20, 30]	50%	50%	View Response

User ID: 1e1f596b7ca7c087f1b31615fca317fd

Survey ID: 182

Ideal budget: [30, 20, 20, 30]

⏱️ Response Time: 78s

Survey Summary

Choice	Percentage
cosine_similarity (Rank)	50%
kl (Rank)	50%

Pairs List

Pair #1

Original choice: Option 2

Pair Score: 0.13

Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.

Choice	Option	Type
✓	[35, 20, 35, 10]	cosine_similarity: {best: 0.88, worst: 0.85}
	[20, 15, 45, 20]	kl: {best: -0.14, worst: -0.17}

Pair #2

Original choice: Option 1

Pair Score: 0.13

Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.

Choice	Option	Type
	[10, 20, 35, 35]	cosine_similarity: {best: 0.88, worst: 0.85}
✓	[20, 15, 45, 20]	kl: {best: -0.14, worst: -0.17}

Pair #3

Original choice: Option 1

Pair Score: 0.13

Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.

Choice	Option	Type
✓	[35, 35, 20, 10]	cosine_similarity: {best: 0.88, worst: 0.85}
	[20, 15, 45, 20]	kl: {best: -0.14, worst: -0.17}

Pair #4

Original choice: Option 2

Pair Score: 0.13

Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.

Choice	Option	Type
	[10, 35, 20, 35]	cosine_similarity: {best: 0.88, worst: 0.85}
✓	[20, 15, 45, 20]	kl: {best: -0.14, worst: -0.17}

Pair #5

Original choice: Option 2

Pair Score: 0.13

Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.

Choice	Option	Type
	[10, 35, 20, 35]	cosine_similarity: {best: 0.88, worst: 0.85}
✓	[20, 45, 15, 20]	kl: {best: -0.14, worst: -0.17}

Pair #6

Original choice: Option 1

Pair Score: 0.13

Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.

Choice	Option	Type
	[10, 20, 35, 35]	cosine_similarity: {best: 0.88, worst: 0.85}
✓	[20, 45, 15, 20]	kl: {best: -0.14, worst: -0.17}

Pair #7

Original choice: Option 2

Pair Score: 0.13

Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.

Choice	Option	Type
✓	[35, 35, 20, 10]	cosine_similarity: {best: 0.88, worst: 0.85}
	[20, 45, 15, 20]	kl: {best: -0.14, worst: -0.17}

Pair #8

Original choice: Option 2

Pair Score: 0.13

Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.

Choice	Option	Type
✓	[35, 20, 35, 10]	cosine_similarity: {best: 0.88, worst: 0.85}
	[20, 45, 15, 20]	kl: {best: -0.14, worst: -0.17}

Pair #9

Original choice: Option 2

Pair Score: 0.13

Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.

Choice	Option	Type
✓	[30, 35, 25, 10]	cosine_similarity: {best: 0.88, worst: 0.85}
	[20, 45, 15, 20]	kl: {best: -0.14, worst: -0.17}

Pair #10

Original choice: Option 2

Pair Score: 0.13

Score = min(Cosine Similarity advantage, KL advantage). Advantage = how much better one vector is than the other in each metric. Higher score = clearer choice.

Choice	Option	Type
	[10, 25, 35, 30]	cosine_similarity: {best: 0.88, worst: 0.85}
✓	[20, 45, 15, 20]	kl: {best: -0.14, worst: -0.17}