Consensus vs Elicit

Option A

Consensus

Ask a falsifiable science question and meet studies, not listicles.

Best for

• Falsifiable science questions
• Students checking a viral claim
• A first pass at whether literature exists

Strengths

• Aims at studies, not listicles
• Useful as a claim check

Trade-offs

• One-liners get over-trusted
• Not a full review method

Verdict

Consensus is a claim check, not a systematic review. Elicit is the review table. Scite is the later argument. Perplexity is the web. Use it to see whether a question has a literature, then go read. If you will not open a PDF, you will cite a chatbot. Confirm the papers match the claim you intend to make — titles lie. Treat the one-line answer as a pointer. Open two papers, write one sentence of your own, then decide. If you cannot spare that, you are not doing research. You are decorating a claim.

Option B

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.