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Source quality buckets

Every source is classified into one of a fixed set of buckets, and each bucket carries a quality score between 0.0 and 1.0. That score feeds the average-quality term in confidence scoring. Higher-trust source types score higher, so a page built from papers and official docs outscores one built from forum threads or chat logs.

Bucket Score Examples
paper 1.0 Academic papers, conference proceedings
official 0.9 Regulator filings, vendor docs, .gov
documentation 0.85 Well-maintained third-party docs
book 0.8 Books, technical references
repository 0.75 GitHub READMEs, codebases
article 0.6 News articles, industry reports
blog 0.55 Personal blogs
voice-transcript 0.5 Meeting and voice-recording transcripts
session_transcript 0.5 Conversation history, general
daily-note 0.45 Journal entries
forum 0.4 Stack Overflow, HN, Reddit
unknown 0.4 Catch-all
claude-chat 0.3 LLM conversation history
llm_generated 0.3 LLM self-reflections

An entry point can override the bucket default for the sources it holds via its default_quality field. See schemas for the entry-point schema.