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57match
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56match
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51match
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50match
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1 co-citations1 shared tech1 shared categorymedical-health
48match
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48match
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48match
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48match
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48match
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0 co-citations3 shared tech1 shared categorymedical-health
48match
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0 co-citations3 shared tech1 shared categorymental-health
48match
cedarstreetmedical.com
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0 co-citations3 shared tech1 shared categorymedical-health
48match
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47match
automatedclinical.com
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0 co-citations2 shared tech2 shared categorymedical-health
46match
healthcarepriceinsider.com
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45match
janinenicoll.com
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How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.