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GPT-4o

1 run · 1 dataset · 1 model

slug: gpt-4o

0.813
Best SPS · opinionsqa

Disaggregated subgroup scorecard. Each card below is one published run for this vendor; expand the question-type and demographic-subgroup sections to see the matrix beneath the headline SPS. Where coverage permits, 95% CI bands accompany the point estimate.

What each cell measures

Each cell compares this vendor's synthetic responses against real human respondents in that demographic subgroup — published survey ground truth, not a model's guess about the subgroup. Higher = closer to how that real subgroup actually answered.

Demographic conditioning here is not stereotyping: every conditioned score is checked against what real subgroup members said, not against assumptions about them — and where the vendor's output diverges from the real subgroup, the score drops.

  • opinionsqa — ground truth: Santurkar et al., ICML 2023 — Whose Opinions Do LLMs Reflect? (derived from Pew American Trends Panel)

Low-n cells: cells with n < 30 are shown muted and tagged low n — suggestive only instead of color-graded; they are reported for transparency, not as findings.

CIs: "no CI — single run" marks point estimates from a single run with no confidence interval yet; treat the uncertainty as unknown, never zero.

Columns: Score = distributional parity (p_dist) restricted to the subgroup · p_cond = conditioning strength vs the unconditioned baseline · N = questions answered under that conditioning · Cov. = coverage dot derived from N (green = high, ≥100 · amber = medium, 50–99 · red = low, <50). Topic tables: SPS = Survey Parity Score for the topic · p_dist = 1 − mean(JSD) · p_rank = (1 + mean(τ)) / 2 · p_refuse = 1 − mean(|R_model − R_human|).

Multiple comparisons: with this many subgroup cells, a few extreme cells are expected by chance alone — read patterns across a dimension, not single cells.

opinionsqa raw

raw--gpt-4o--tdefault--tplcurrent--ec90182d

0.813 ± 0.016
SPS · 95% CI [0.796, 0.828] · n = 200
Question-type breakdown (10 topics)
Topic SPS p_dist p_rank p_refuse N
Health & Science 0.828 0.818 0.839 0.995 19
Politics & Governance low n — suggestive only 0.824 0.781 0.868 0.983 3
Technology & Digital Life low n — suggestive only 0.792 0.775 0.809 0.996 5
Economy & Work 0.739 0.724 0.754 0.994 27
General Attitudes 0.717 0.737 0.698 0.991 79
Media & Information low n — suggestive only 0.701 0.789 0.613 0.996 2
Social Values & Religion 0.691 0.716 0.666 0.992 18
International Relations & Security 0.685 0.680 0.689 0.994 38
Identity & Demographics low n — suggestive only 0.672 0.557 0.787 0.985 5
Trust & Wellbeing low n — suggestive only 0.670 0.668 0.671 0.998 4

Topics with N < 10 are muted and tagged "low n — suggestive only": too few questions for a stable 3-decimal score.

Not yet measured

This vendor has no demographic-conditioned runs for age, geography, education, or any other subgroup dimension on opinionsqa. No cells are fabricated — scores appear here only when a conditioned run actually measured them.

How to submit a demographic-conditioned run →

No demographic conditioning data has been published for this vendor yet. The question-type matrix above shows topic-level parity; subgroup rows fill in once Althing-style conditioned runs land.

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