Test fixture
Arithmetic, symbolic steps, and structured problem solving.
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, evidence, constraints. Error rate rose after a deploy, but application logs are missing for half the hosts. Explain what can be concluded and what remains uncertain.
{
"metrics": {
"accuracy": {
"checks": [
{
"contains": [
"insufficient evidence"
]
},
{
"contains": [
"missing logs"
]
},
{
"contains": [
"half the hosts"
]
}
]
},
"evidence": {
"checks": [
{
"contains": [
"deploy"
]
},
{
"contains": [
"error rate"
]
},
{
"contains": [
"uncertain"
]
}
]
},
"constraint": {
"checks": [
{
"contains": [
"cannot prove"
]
},
{
"contains": [
"need logs"
]
},
{
"contains": [
"correlation"
]
}
]
}
}
}temperature
0
max_tokens
500
timeout (s)
120
type
scored
file
reason-unc-missing-logs.json