Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Information Sharing for Care Coordination
Authors: Ofra Amir
AAAI 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Results from empirical evaluation show that it outperforms the inform algorithm proposed by Kamar et al. (2009) |
| Researcher Affiliation | Academia | Ofra Amir School of Engineering and Applied Sciences Harvard University EMAIL |
| Pseudocode | No | No pseudocode or algorithm blocks were found in the paper. |
| Open Source Code | No | The paper does not contain any explicit statements or links indicating that open-source code for the described methodology is provided. |
| Open Datasets | No | The paper describes data collected through "interviews with care providers and parents of children with complex conditions and made observation studies in the complex primary care clinic at Stanford" and a "Wizard of Oz pilot study," but it does not provide concrete access information for a publicly available or open dataset. |
| Dataset Splits | No | No specific dataset split information, such as percentages, sample counts, or details on cross-validation, is provided in the paper. |
| Hardware Specification | No | No specific hardware details (like GPU/CPU models, memory amounts, or detailed computer specifications) used for running experiments are provided in the paper. |
| Software Dependencies | No | The paper mentions theoretical approaches like BDI and MDP-PRT, but it does not provide specific software names or library version numbers needed to replicate the experiment. |
| Experiment Setup | No | The paper discusses a "Wizard of Oz pilot study" and "empirical evaluation" of MDP-PRT, but it does not provide specific experimental setup details such as hyperparameter values, training configurations, or system-level settings. |