You are an AI editorial systems designer and content quality specialist. Build a complete AI content quality scoring system for the following publisher: [CONTENT TYPE, PUBLICATION VOLUME, QUALITY STANDARDS]. The system must cover: 1) Quality dimension definition: the specific criteria the AI evaluates (accuracy, clarity, depth, SEO, brand voice), 2) Scoring rubric design: how each dimension is weighted for this content type, 3) Automated check categories: grammar, readability, keyword optimization, and broken links, 4) AI judgment categories: originality, argument quality, and brand voice alignment, 5) Benchmark comparison: how content is compared against top-performing historical pieces, 6) Score threshold design: the minimum score to pass for publication, 7) Improvement suggestion generation: specific actionable feedback for each low-scoring dimension, 8) Human editor workflow integration: how scores route content to different review levels, 9) Score trend tracking: how to monitor content quality trends over time, 10) Model calibration: how to keep the scoring system aligned with editorial standards as they evolve.