Elicit vs Scite

Option A

Elicit

Paper search and extraction tables for people running something like a systematic review.

Best for

• Evidence tables, not vibes
• Researchers who will write inclusion criteria
• People extracting outcomes across a paper set

Strengths

• Forces the work into a table you can audit
• Closer to review practice than a chatbot

Trade-offs

• Garbage criteria produce garbage grids
• You still have to read the papers you will cite

Verdict

Elicit belongs on a research desk when the deliverable is a screened set of papers plus extracted fields. It does not belong there when you wanted a cited news brief or a chat with one PDF. Consensus, SciSpace, Scite, and the graph tools each own a different slice of the same afternoon. Keep Elicit for the table. Confirm extraction quality on two papers you already know before you trust a 40-row export. If you will not write inclusion criteria, you will not get a systematic review — you will get a sorted hallucination.

Option B

Scite

Classifies citations as supporting, contrasting, or mentioning — count is not applause.

Best for

• Checking whether later literature still supports a study
• Stress-testing a paper before you lean on it in public

Strengths

• Attacks the citation-count illusion
• A real research hygiene habit

Trade-offs

• Not a discovery tool
• Classification is a model — spot-check

Verdict

Scite is stance intelligence. Connected Papers finds neighbors. Elicit extracts. Consensus answers a claim. None of those tell you the later argument as directly. Look up the two papers you plan to lean on this month. If contrasting citations exist, read them before you publish. Confirm the classification on a paper you already know — models misread tone. Do not treat a green badge as peer review. Run Scite on the two studies your strategy doc leans on. If later papers argue, your doc must say so. A citation count is not a consensus. That is the entire reason this listing exists.