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..
Supervised Scoring with Monotone Multidimensional Splines
Authors: Abraham Othman
AAAI 2014 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | The method is used in practice to create the LEED Performance scores that gauge building sustainability. In this section we demonstrate our method graphically on a toy example. |
| Researcher Affiliation | Collaboration | Abraham Othman U.S. Green Building Council EMAIL |
| Pseudocode | No | The paper describes the mathematical approach and constraints but does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code for the methodology described. |
| Open Datasets | No | The paper mentions using a "reference set of buildings" and a "toy example" with specific points, but it does not provide any concrete access information (link, DOI, repository, or formal citation with author/year) for a publicly available dataset. |
| Dataset Splits | No | The paper describes an interpolative approach and does not mention specific training, validation, or test dataset splits. |
| Hardware Specification | No | The paper does not provide any specific hardware details (like GPU/CPU models or processor types) used for running its experiments or demonstrations. |
| Software Dependencies | No | The paper discusses mathematical concepts but does not provide specific ancillary software details (e.g., library or solver names with version numbers) needed to replicate the experiment. |
| Experiment Setup | Yes | Consider the following reference set: (0, 0) 7 0 (1, 0) 7 20 (0, 2) 7 50 (3, 1) 7 60 (3, 3) 7 90 (4, 4) 7 100 with the relationship vector {1, 1} and values restricted to [0, 100]. |