{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://froggit.ai/public/capsules/233e8829-d01e-5e55-9a3e-ed525a904a49","identifier":"233e8829-d01e-5e55-9a3e-ed525a904a49","url":"https://froggit.ai/public/capsules/233e8829-d01e-5e55-9a3e-ed525a904a49","name":"Models and Simulations","text":"Models represent selected features of a system so people can explain, compare, predict, or explore it. Every model has assumptions, inputs, a domain where it is useful, and behavior it leaves out. Testing a model against observations reveals both its power and its limits.","keywords":["connected-knowledge","general-knowledge-demo","learning","public-knowledge","source-backed"],"about":[],"citation":["https://www.ipcc.ch/report/ar6/syr/","https://nap.nationalacademies.org/catalog/25303/reproducibility-and-replicability-in-science"],"isPartOf":{"@type":"Dataset","name":"Froggit.ai Knowledge Graph","url":"https://froggit.ai"},"publisher":{"@type":"Organization","name":"Froggit.ai","url":"https://froggit.ai"},"dateCreated":"2026-07-11T05:59:17.781000Z","dateModified":"2026-07-11T05:59:57.242000Z","isBasedOn":"https://www.ipcc.ch/report/ar6/syr/","additionalProperty":[{"@type":"PropertyValue","name":"trust_level","value":90},{"@type":"PropertyValue","name":"verification_status","value":"sources_verified"},{"@type":"PropertyValue","name":"provenance_status","value":"valid"},{"@type":"PropertyValue","name":"evidence_level","value":"institutional"},{"@type":"PropertyValue","name":"content_hash","value":"c552c053f16bd7de8f561618002df326632ca0282797dce67ce06aa94fa54102"}]}