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AA_Evidence_Capture.xlsx v1.1

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Animals Assured — Claude Skill Definitions (v1.0) 19%
file · #1

# Animals Assured — Claude Skill Definitions (v1.0) **Package:** AA_Claude_Skills_v1.0 **Date:** April 2026 **Companion to:** AA-RES-WORKFLOW-001 v1.2, AA_Evidence_Capture.xlsx v1.1 This document…

Welfare Footprint Framework: Methodological Foundations and Quantitative Assessment Guidelines 1%
Alonso, W. J.; Schuck-Paim, C. · file · #104

ns keeps evidence biologically coherent. The WFF acknowledges that intensities fluctuate over time (e.g., sharp pain dulling during healing), and that for evidence to be informative it must be properly matched to the different moments of the experience (e.g., using the presence of inflammatory markers as indicators of likely pain intensity only in the inflammatory phase). This 23 prevents “evidence leakage” that could otherwise bias estimates. Iterative updates and version control. All estimates and supporting evidence are transparently documented in publicly accessible documents or databases. This approach allows periodic updates as new data becomes available, akin to updating a living systematic review. Thus, the WFF goes further in constraining subjectivity by making assessments transparent, evidence-based, and open to scrutiny. When data is unavailable, the WFF offers a structured method for generating estimates—grounded in the same expert interpretation of the literature used by other frameworks, but with transparency as to the data available, or lack thereof, supporting these estimates. Notation Systems for Describing Affective Dynamics Pain-Track and Pleasure-Track are standardized notation tools developed within the Welfare Footprint Framework to describe and quantify the temporal dynamics of animals’ affective experiences (not Biological Outcomes or Circumstances). They are structured as matrices where each column represents a biologically meaningful time segment, and each row corresponds to a defined intensity level of Pain or Pleasure. These notation tools allow for the assignment of probabilities to each intensity level within each segment, capturing both uncertainty in assessment and inter-individual variation in how animals experience those