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 [1].
Position: The Causal Revolution Needs Scientific Pragmatism
Authors: Joshua R. Loftus
ICML 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Position: The Causal Revolution Needs Scientific Pragmatism |
| Researcher Affiliation | Academia | 1Department of Statistics, London School of Economics, London, UK. Correspondence to: Joshua Loftus <EMAIL>. |
| Pseudocode | No | The paper does not contain any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide explicit access to source code for its own methodology as it is a position paper. |
| Open Datasets | No | The paper does not describe the use of any dataset for training or provide access information for one. |
| Dataset Splits | No | The paper does not describe any dataset splits for validation or other purposes. |
| Hardware Specification | No | The paper does not mention any specific hardware used for experiments. |
| Software Dependencies | No | The paper does not list specific software dependencies with version numbers. |
| Experiment Setup | No | The paper does not describe any experimental setup details such as hyperparameters. |