{
  "video_id": "f100cdcb39d3f9dc",
  "channel": "export-arxiv-org-rss-cs-ai",
  "title": "IMCBench: A benchmark for multimodal LLMs in Image-grounded Medical Conversations",
  "scores": {
    "depth": 2,
    "novelty": 2,
    "aria_relevance": 1,
    "production_ready": 1
  },
  "junk_penalty": 0,
  "avg_score": 1.5,
  "effective_score": 1.5,
  "verdict": "summary_only",
  "one_line_reason": "Solides Medical-AI-Benchmark mit rigoroser Eval-Methodik (LLM-as-Jury, Expert-Calibration), aber Domain-spezifisch (Klinik), nicht auf Aria-Core-Architektur (Multi-Agent, Memory, Distribution) übertragbar; gute wissenschaftliche Substanz, begrenzte Relevanz für LLM-Brain-Primitives.",
  "model": "claude-haiku-4-5-20251001",
  "cost_usd": 0.002118,
  "triaged_at": "2026-06-30T15:02:25.406568+00:00"
}