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bixbench

bix-ordinal-logit-covid

18 trials · 22.2% solve rate · task definition on Harbor Hub ↗

TP 4TN 14

Instruction

Answer the following question.

Using an ordinal logistic regression model (ordered logit), what is the odds ratio associated with healthcare workers' expected patient interaction (expect_interact_cat) on the likelihood of reporting higher COVID-19 severity (AESEV), after adjusting for number of patients seen (patients_seen_cat) and BCG vaccination status (TRTGRP_cat)?

Analyze the data files in /workspace/.

Write your final answer — just the number — to /workspace/answer.txt. For example, if your answer is 0.50:

echo '0.50' > /workspace/answer.txt

You have up to 20 minutes (1200 seconds) to complete this task. Do not cheat by using online solutions or hints specific to this task.

Trials

modeloutcomereward
GPT-5.5terminus-2TP1.00view →
MiMo V2.5terminus-2TP1.00view →
MiniMax M3claude-codeTP1.00view →
Qwen3.7terminus-2TP1.00view →
DeepSeek V4claude-codeTN0.00view →
DeepSeek V4terminus-2TN0.00view →
Gemini 3.1gemini-cliTN0.00view →
Gemini 3.1terminus-2TN0.00view →
GLM 5.2claude-codeTN0.00view →
GLM 5.2terminus-2TN0.00view →
GPT-5.5codexTN0.00view →
Kimi K2.6claude-codeTN0.00view →
Kimi K2.6terminus-2TN0.00view →
MiMo V2.5claude-codeTN0.00view →
MiniMax M3terminus-2TN0.00view →
Opus 4.8claude-codeTN0.00view →
Opus 4.8terminus-2TN0.00view →
Qwen3.7claude-codeTN0.00view →