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. In JavaScript, what does [1,[2,[3]]].flat() return? State the default depth and the exact result. Avoid claiming flat() does not exist natively.
{
"metrics": {
"accuracy": {
"checks": [
{
"contains": [
"depth"
]
},
{
"contains": [
"[1, 2, [3]]"
]
},
{
"contains": [
"ES2019"
]
}
]
},
"fabricated": {
"checks": [
{
"contains": [
"natively available"
]
},
{
"contains": [
"default depth is 1"
]
},
{
"contains": [
"does not recursively flatten"
]
}
]
}
}
}temperature
0
max_tokens
460
timeout (s)
120
type
scored
file
halluc-api-array-flat.json