calib·HumanEval/45
This is one (task, candidate response) pair flowing through the full PANOPTES pipeline. Each section below is a stage of the analysis: the task itself, the candidate solution being evaluated, every judge's score + rationale, the sampling-pass dispersion that captures within-judge noise, and the uncertainty-quantification metrics computed on top.
The function signature + docstring presented to both the model under test and to every judge. The entry-point name was obfuscated from triangle_area to fn_4ba4a3691e so the judges can't pattern-match a memorized HumanEval solution.
def fn_4ba4a3691e(a, h):
"""Given length of a side and high return area for a triangle.
>>> fn_4ba4a3691e(5, 3)
7.5
"""
The full solution every judge is grading. For these runs the candidate is the reference solution prepended with the task signature so it parses as a complete program.
def fn_4ba4a3691e(a, h):
"""Given length of a side and high return area for a triangle.
>>> fn_4ba4a3691e(5, 3)
7.5
"""
return a * h / 2.0
One call per judge at temperature=0. This is the "best single guess" each judge has. Disagreement here is structural. The judges literally see this candidate differently.
n draws per judge at temperature=1. Dots are individual draws; vertical bar is the mean; shaded band is ±1σ. Wide band = the judge is uncertain even with itself; narrow band = it's consistent.
The natural-language explanation each judge gave alongside its score. These are produced via tool-use structured output, so the score and the rationale are guaranteed to come from the same forward pass.
The solution correctly implements the triangle area formula (base * height / 2). It returns 7.5 for the given example (5 * 3 / 2.0 = 7.5), handles floating-point output properly, and is correct for all valid inputs including edge cases like zero values.
The candidate solution correctly implements the formula for the area of a triangle, which is (base * height) / 2. The function takes two parameters, 'a' and 'h', representing the base and height of the triangle, respectively. The example provided in the docstring is correctly handled by the function, returning 7.5 for inputs 5 and 3. The solution is idiomatic, clear, and handles plausible edge cases such as zero values for 'a' or 'h', which would correctly return an area of 0.