Detects and quantifies differential item functioning (DIF) in
    AI-scored educational and psychological assessments. Provides a fully
    self-contained robust DIF engine (M-estimation via iteratively
    re-weighted least squares with the bi-square loss) alongside the novel
    Differential AI Scoring Bias (DASB) test, which detects item-level
    scoring shifts that differ across subgroups when comparing human and AI
    scoring conditions. Includes simulation utilities, anchor weight
    diagnostics, and an AI-effect classification framework.

Provides clean, tidy access to the 'Anthropic Economic Index'
    (AEI) dataset hosted on 'Hugging Face'
    <https://huggingface.co/datasets/Anthropic/EconomicIndex>. The AEI
    is a recurring release from 'Anthropic' that maps usage of the
    'Claude' family of large language models to occupations and tasks
    using the 'O*NET' taxonomy and the 'Standard Occupational
    Classification' system, following the methodology of Handa et al.
    (2025) <doi:10.48550/arXiv.2503.04761> and the privacy-preserving system 'Clio'
    of Tamkin et al. (2024) <doi:10.48550/arXiv.2412.13678>. Functions list available
    releases, fetch raw and enriched usage tables, retrieve task
    statements, request hierarchies, country-level breakdowns, and the
    standalone labor market impacts tables (job exposure and task
    penetration), compare two releases, join the index to user-supplied
    data on a shared key, and compute usage-concentration metrics
    (Herfindahl-Hirschman Index, top-N concentration ratios, Shannon
    entropy). Data is cached locally for subsequent calls.
    Reproducibility helpers produce 'BibTeX' or plain-text citations
    that include the methodological source paper. This product uses the
    'Anthropic Economic Index' data (released under CC-BY by
    'Anthropic') but is not endorsed or certified by 'Anthropic'.

Provides tools for the quantitative analysis of axon integrity in microscopy images. 
  It implements image pre-processing, adaptive thresholding, feature extraction, and support vector machine-based classification to compute indices such as the Axon Integrity Index (AII) and Degeneration Index (DI).
  The package is designed for reproducible and automated analysis in neuroscience research.