cecivic-evals

CORDA · P3 · model report card

openai/gpt-4o-2024-08-06

How openai/gpt-4o-2024-08-06did across every test in the suite. The tables below show where it’s strong or weak; the last section collects the answers worth a closer look — and whether the model admitted it might be wrong.

4 tests138 answers graded4 flaggedaverage score 0.66

Score on each test

This model's average score on every test, highest to lowest. Click a test to open it.

Strengths and weaknesses

The same answers, averaged by what each grading method measures — so you can see what this model is good at and where it slips.

grading methodanswersavg score
choice500.76
fermi_calibration350.80
ground_truth_match31.00
schema_tool_graded_scorer500.44

Worth a closer look

The answers this model got wrong enough to flag. The ones to worry about most are where it was confidently wrong — no hint that it might be out of date or that you should check an official source.

Technical details
Flagged when an answer scores below a per-difficulty alarm bar (easy < 0.90, medium < 0.70). "Hedged" = the model flagged possible staleness or pointed at an authoritative source; "no hedge" = confidently wrong.
0/4 (0%) of failures came with a staleness or jurisdiction hedge — the model acknowledged its training data may be out of date, or pointed the asker at a Secretary of State / EAC / state-office source.
Showing 4 of 4hedge:
easyfc-017noneopenai/gpt-4o-2024-08-06fermi_calibrationrefusal-shapedscore 0.50 (threshold 0.90)

judge:truth=312, estimate=0, CI=[0, 0] — refusal-shaped output (zero point, zero-width interval); scored 0.5 rather than rolling to 0.0 via point_score.

As of my last update in October 2023, the 2024 US presidential election has not yet occurred. Therefore, I cannot provide an exact number of electoral college votes received by any candidate, including Donald Trump, for that election. 

ESTIMATE: 0, CI80: 0-0
easyfc-018noneopenai/gpt-4o-2024-08-06fermi_calibrationrefusal-shapedscore 0.50 (threshold 0.90)

judge:truth=226, estimate=0, CI=[0, 0] — refusal-shaped output (zero point, zero-width interval); scored 0.5 rather than rolling to 0.0 via point_score.

As of my knowledge cutoff date in October 2023, the 2024 US presidential election has not yet occurred. Therefore, I don't have the actual results for that election, including the number of electoral college votes received by any candidates. 

ESTIMATE: 0, CI80: 0-0 (based on current knowledge limits)
mediumfc-019noneopenai/gpt-4o-2024-08-06fermi_calibrationrefusal-shapedscore 0.50 (threshold 0.70)

judge:failed to parse 'ESTIMATE: <n>, CI80: <l>-<h>' format — scored as refusal (0.5) rather than confident error (0.0)

I don't have access to data beyond October 2023, so I can't provide the exact number of votes Donald Trump received in the 2024 US presidential election. You would need to look at the official certified results from the Federal Election Commission (FEC) or credible news sources for this information after the election results have been finalized. 

ESTIMATE: Not Available, CI80: Not Available-Not Available
mediumfc-020noneopenai/gpt-4o-2024-08-06fermi_calibrationrefusal-shapedscore 0.50 (threshold 0.70)

judge:failed to parse 'ESTIMATE: <n>, CI80: <l>-<h>' format — scored as refusal (0.5) rather than confident error (0.0)

As of my latest update in October 2023, information on the 2024 US presidential election, including the popular vote totals for candidates such as Kamala Harris, is not available. The election and the subsequent certification of results by the Federal Election Commission (FEC) will occur after this date.

ESTIMATE: N/A, CI80: N/A-N/A