text: Yo, listen up, I got a story to tell
  'Bout the US Environmental Protection Agency, oh well
  They've been in the game, using models so fine
  Supporting the development of water quality guidelines
  
  They got conceptual models, mechanistic too
  Data-driven empirical, they know what to do
  Bayesian and probabilistic, they got it all
  Risk-based frameworks, yo, they stand tall
  
  These models and frameworks, they serve different goals
  Depending on the criteria, they gotta meet the roles
  They need knowledge of processes, stressor-response
  Data availability and expertise, yo, they're no nonsense
  
  But hold up, there's more, let me break it down
  Models vary in their ability to tackle uncertainty all around
  In this work, we review USEPA's recommendations
  In regulatory frameworks, technical support, and publications
  
  We're talking key attributes, knowledge gaps, and research
  Where EPA guidance is needed, yo, it's a must
  To promote the use of models, numeric criteria's derivation
  So we can protect the environment, that's the destination
  
  These outcomes inform a decision-based approach
  Determining model suitability, ain't no time to broach
  Scenarios of knowledge, data, and technical resources
  It's all about making the right choices, no matter the courses
  
  Integr Environ Assess Manag, that's the source
  2022, SETAC, they're on the course
  So remember this tale of models and EPA's guide
  For a better environment, let's ride the tide