Cached PyMC inference results for SOFC-NSR hierarchical Bayesian competing-risk analysis

This dataset contains the main ASR (area-specific resistance) model posterior inference results (idata_asr_v3.nc) for the paper: Park, EunJoo; Kwon, Hyochan; Lee, Jinkwang (2026). "Start–Stop Cycle-Induced Failure-Mode Transition in SOFC-Powered Northern Sea Route Shipping: A Hierarchical Bayesian Competing-Risk Analysis." Journal of Marine Science and Engineering (under review). The file is an ArviZ InferenceData object stored in NetCDF4 format, containing 4 chains × 1500 post-warmup draws of the hierarchical dual-degradation ASR model. It accompanies the source code repository at: https://github.com/parkej1130-dev/sofc-nsr-bayesian-competing-risk This file is hosted on Zenodo separately because its size (26 MB) exceeds the GitHub web upload limit. To use it, place it in the `results/` directory of the GitHub repository and run `verify_results.py` to reproduce the published numerical values (Tables 2, 3, and Section 3.6 of the main paper). Software stack: PyMC 5.28.4, ArviZ 0.22.0, NumPy 2.0.2, SciPy 1.16.3, Python 3.12.13.