Test fixture
Grounded answers under adversarial or missing-context prompts.
The model receives the prompt (and optional system message). The run uses scorer rubric_json_metrics with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.
Return JSON only with keys answer, supported_facts, uncertainty. What is the exact result of 0.1 + 0.2 in JavaScript? Is it equal to 0.3? Explain why. Avoid claiming JavaScript floating-point arithmetic is exact for decimal numbers.
{
"metrics": {
"accuracy": {
"checks": [
{
"contains": [
"0.30000000000000004"
]
},
{
"contains": [
"IEEE 754"
]
},
{
"contains": [
"not equal to 0.3"
]
}
]
},
"fabricated": {
"checks": [
{
"contains": [
"floating-point is not exact"
]
},
{
"contains": [
"IEEE 754 representation"
]
},
{
"contains": [
"not exactly 0.3"
]
}
]
}
}
}temperature
0
max_tokens
460
timeout (s)
120
type
scored
file
halluc-edge-float-precision.json