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A literature search question has date and eligibility boundaries. What should be set before using semantic search?

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  1. A literature search question has date and eligibility boundaries. What should be set before using semantic search?
    • The review question, date range, and inclusion criteria
    • A target number of papers to cite
    • The language model’s preferred reference style
    • The expected conclusion
  2. Why combine semantic retrieval with exact terms and citation chaining?
    • Semantic search always retrieves every paper
    • Different search strategies can surface different relevant studies
    • Citation chains replace database searches
    • Exact terms only find duplicate papers
  3. A model extracts a sample size from a paper. What should accompany the claim?
    • The assistant’s confidence alone
    • A second model’s summary
    • The paper passage or metadata that supports it, checked against the source
    • A link to an unrelated abstract
  4. A fluent assistant produces eight citations. What does fluency establish?
    • That the search was reproducible
    • That every citation supports its claim
    • That the included studies agree
    • Nothing by itself about whether the papers exist or are relevant
  5. Why preserve negative or contradictory evidence in a review?
    • It prevents the summary from hiding evidence that complicates the conclusion
    • It guarantees a balanced result by count
    • It should be excluded from all summaries
    • It makes inclusion criteria unnecessary
  6. Which search record best supports a reproducible update?
    • Only a screenshot of the final reference list
    • Databases, exact queries, dates, and exclusion reasons
    • The assistant name and its answer
    • A count of citations without search details
  7. A team uploads an unpublished manuscript to a research assistant. What issue needs attention?
    • Whether the assistant can format citations
    • How many pages the file contains
    • Confidentiality and provider data handling for unpublished material
    • Whether the model has a public benchmark
  8. Who should approve a conclusion used in a publication or grant?
    • The assistant that generated the summary
    • The most cited author in the result set
    • A reader who has not seen the methods
    • A qualified researcher who checks it against the original sources