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jablonkagroup/corral_lfm_binomial_results

Corral – LFM Binomial IRT Results Fitted parameters of a binomial Item Response Theory model quantifying the contributions of model and scaffold to agent performance across all Corral environments πŸ“‹ Dataset Summary This dataset is part of the Corral collection accompanying the paper AI scientists produce results without reasoning scientifically. It contains the fitted parameters of a binomial Item Response Theory (IRT) model estimated from agent… See the full description on the dataset page: https://huggingface.co/datasets/jablonkagroup/corral_lfm_binomial_results.

Author / organizationjablonkagroup
License (as declared)mit
Downloads285 (as reported by Hugging Face)
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Created10 April 2026
Last updated at source22 April 2026
corralbenchmarkllm-agentsscientific-agentsirtitem-response-theorybinomialstatistical-analysisevaluationchemistrymaterials-sciencevariance-decomposition
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  • 16 Oct 2026 Description: Corral – LFM Binomial IRT Results Fitted parameters of a binomial Item Response Theory model quantifying the contributions of model and scaffold to agent performance across all Corral environments πŸ“‹ Dataset Summary This dataset is part of β†’ Corral – LFM Binomial IRT Results Fitted parameters of a binomial Item Response Theory model quantifying the contributions of model and scaffold to agent performance across all Corral environments πŸ“‹ Dataset Summary This dataset is part of

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.