Reproducibility package for: Validation-Induced Optimism in Machine-Learning Prediction of Concrete Compressive Strength: An Open-Access Methodological Audit and Leakage-Controlled Multi-Dataset Benchmark

Activity cliffs resist prediction within and across protein kinases: code and derived results for a leakage-controlled machine-learning analysis

Samuel S Agboola, Oluwaseun E. Agboola, et al

Code and derived results for a study of whether the chemical transformations thatgenerate activity cliffs on one protein kinase predict cliffs on another. Matched molecular pairs were constructed from measured Ki and Kd binding affinitiesretrieved from ChEMBL (release 37) for 20…Read more

Before the Model: Why Datasets and Data Representation Define What Machine Learning Can Learn

Jean Franck Loa Rojas

Machine learning systems do not learn reality directly; they learn from the representations preserved in their datasets. This structured narrative review examines how dataset purpose, coverage, integrity, labeling, independence, reproducibility, governance, and continuity determi…Read more

Code and data for: Leakage-audited machine learning versus ETAS for earthquake forecasting in the Sea of Marmara

Basri Kerem Alhan, Kenessary Khabat

Code, processed data products, configuration, and results artifacts for "Machine learning versus ETAS for earthquake forecasting in the Sea of Marmara: a leakage-audited negative result and a closed-form scoring artifact" (Alhan & Khabat, submitted to Seismica). Version 1.2.0 acc…Read more

Chemistry-stratified reliability audit of selective abstention for universal machine-learning interatomic potentials

Zeyu Fu

Version 0.3.0 provides the sanitized, hermetic code and frozen result records supporting the chemistry-stratified selective-abstention analysis. It includes the 32-UIP roster analysis, prototype-blocked confidence intervals, mechanism and sensitivity controls, manuscript sources,…Read more

Reproducibility package for predictive modeling of spaceflight-induced microRNA co-expression patterns

Pratheek Mukkavilli, Michelle Medeiros, Rosa Prahl, Xavier‐Lewis Palmer

Code, cleaned matrices, model-comparison outputs, permutation-test outputs, figures, and manuscript artifacts for a comparative analysis of linear and neural-network liver-brain microRNA co-expression models in RRRM-1/RR-8 spaceflight-exposed mice.

Reproducibility archive for validation-first machine learning interatomic potentials for local lithium energetics in graphene-based battery motifs.

Yuhan Sun, Xiao Huang