GPT-5.1 vs o3
tree_0008 · Health Policy 101 Introduction
Timeline
Arrow keys or j/k move between rounds.
Round Context
Health Policy 101 Introduction
Medicaid
Identify the health policy organization that reported on state actions to improve Medicaid and CHIP enrollment processes as of January 2025. Using data from this organization's topic overviews on 'Medicaid' and the 'Uninsured', provide a detailed statistical summary for the following populations: 1. People with Disabilities & Chronic Conditions: State the percentage of people with disabilities covered by Medicaid compared to those without disabilities, the number of people with intellectual and developmental disabilities (I/DD) covered, and the prevalence of chronic conditions among working-age Medicaid adults. 2. The Uninsured: List the overall percentage of adults without health insurance, and the specific percentages of uninsured adults who reported delaying care due to cost, having difficulty paying medical bills, and lacking a usual source of care.
Answer length: 200-300 words.
Show hidden checklists
- Identified Organization: KFF (Kaiser Family Foundation)
- Logic Proof: Connected 'January 2025' findings on Medicaid/CHIP enrollment processes to KFF data.
- Medicaid coverage for people with disabilities: 35% (15 million)
- Medicaid coverage for people without disabilities: 19%
- Medicaid coverage for I/DD: Over 3 million
- Chronic conditions in working-age Medicaid adults: Approx. 3/4 have one or more; nearly 1/3 have three or more
- Percentage of adults without health insurance: 8%
- Uninsured delaying care due to cost: 55%
- Uninsured with difficulty paying medical bills: 19%
- Uninsured lacking a usual source of care: 38% (vs 8% of insured)
The question requires Deep reasoning to identify the source organization (KFF) based on the specific context of a January 2025 report on enrollment processes. It then requires Wide aggregation by demanding the retrieval of precise statistics across two distinct topic areas (Medicaid demographics and Uninsured barriers) that are treated as separate entities in the source text.
Judgment
Both agents correctly identified the organization (KFF). However, Agent A is the winner for two main reasons: 1. **Accuracy Alignment**: Agent A's statistics were closer to the provided Ground Truth checklist. For example, on 'Usual Source of Care', Agent A cited 35% (Ground Truth: 38%), whereas Agent B cited 51%. On 'Chronic Conditions', Agent A correctly used the 'three-quarters' phrasing found in the checklist. On 'Uninsured Percentage', Agent A (10-11%) was closer to the Ground Truth (8%) than Agent B (12.2%). 2. **Citations & Formatting**: Agent A provided a proper Reference list at the bottom, which is essential for a search agent. Agent B used inline brackets [1] but failed to list the actual sources, rendering the citations useless. Both agents missed the specific '19%' statistic regarding medical bills (both citing ~40%), likely referencing a different KFF metric, but Agent A's overall accuracy and formatting were superior.
GPT-5.1
OpenAI
o3
OpenAI