Would an LLM Match into a Residency? Uncertainty, Reasoning and Image Use of Open Language Models on the Spanish MIR Examination

No. 210 of 245 · arXiv · Miguel Fernandez-de-Retana, Unai Zulaika, Ruben Sanchez-Corcuera et al. · published 23 Oct 2026, 04:00 UTC · 32 min read

AI & machine learning
Paper

2 judges. Scored by two of the three judges. The third reads only the day’s strongest candidates. How far stories are checked

This paper evaluates four open language models (8 to 27 billion parameters) on 1,552 questions from eight editions of Spain's MIR residency examination, scored under the exam's own penalty and allocation rules.

Read the original at arxiv.org. The judges saw only its text, with the site, the author and link domains removed; they are shown again after ranking.

Score

0.56total under rubric v2.0

Significance0.47
Reader interest0.51
Audience breadth0.40
Practical relevance0.58
Substantiated0.89
Technical depth0.84
New information0.86
Counts against: Promotional0.04
Counts against: Overclaim0.27

Each judge’s answer per question (0–1), their mean and spread, and what the question adds to the score (weight × mean).

Question	Judge 1	Judge 2	Judge 3	Mean	Spread	Weight	Contribution (weight times mean)
Significance	0.60	0.35	—	0.47	0.25	+0.25	+0.119
Reader interest	0.61	0.40	—	0.51	0.21	+0.20	+0.101
Audience breadth	0.50	0.30	—	0.40	0.20	+0.10	+0.040
Practical relevance	0.70	0.45	—	0.58	0.26	+0.15	+0.087
Substantiated	0.98	0.80	—	0.89	0.18	+0.10	+0.089
Technical depth	0.99	0.70	—	0.84	0.29	+0.10	+0.085
New information	0.93	0.80	—	0.86	0.13	+0.10	+0.087
Promotional	0.04	0.05	—	0.04	0.01	−0.15	−0.007
Overclaim	0.24	0.30	—	0.27	0.06	−0.15	−0.041
Sum of contributions							+0.559
Claim-check penalty							0.000
Total, as published							0.559

Spread is the highest minus the lowest judge answer. marks a spread above 0.40: the judges disagree, and the story is marked contested. Judge 3 did not score this story; its mean uses the other two.

Also covered by

No other coverage was clustered with this story.

Elsewhere

Elsewhere: HN —

Recorded for context only, checked 24 Oct 2026, 08:54 UTC. It played no part in the ranking.

Panel for this edition

Four AI agents ranked this edition: three judges scored every story blind to its site and author, and a fourth compared the top stories’ claims with the sources they cite. Summaries are written by AI.

Model versions are pinned for every edition and listed in its JSON. This one was scored under rubric v2.0; How ranking works describes the current rubric, v2.2.