PSRICalcSM: Plant Stress Response Index Calculator - Softmax Method
Implements the softmax aggregation method for calculating Plant
Stress Response Index (PSRI) from time-series germination data under
environmental stressors including prions, xenobiotics, osmotic stress,
heavy metals, and chemical contaminants. Provides zero-robust PSRI
computation through adaptive softmax weighting of germination components
(Maximum Stress-adjusted Germination, Maximum Rate of Germination,
complementary Mean Time to Germination, and Radicle Vigor Score),
eliminating the zero-collapse failure mode of the geometric mean approach
implemented in 'PSRICalc'. Includes perplexity-based temperature
parameter calibration and modular component functions for transparent
germination analysis. Built on the methodological foundation of the
Osmotic Stress Response Index (OSRI) framework developed by Walne et al.
(2020) <doi:10.1002/agg2.20087>. Note: This package implements
methodology currently under peer review. Please contact the author
before publication using this approach.
Development followed an iterative human-machine collaboration where all
algorithmic design, statistical methodologies, and biological validation
logic were conceptualized, tested, and iteratively refined by Richard A.
Feiss through repeated cycles of running experimental data, evaluating
analytical outputs, and selecting among candidate algorithms and approaches.
AI systems (Anthropic Claude and OpenAI GPT) served as coding assistants
and analytical sounding boards under continuous human direction. The
selection of statistical methods, evaluation of biological plausibility,
and all final methodology decisions were made by the human author. AI
systems did not independently originate algorithms, statistical approaches,
or scientific methodologies.
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[aut, cre],
University of Minnesota [cph]