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UID:pretalx-pidfest-26-2026-KPRJHV@pretalx.surf.nl
DTSTART;TZID=CET:20261028T124000
DTEND;TZID=CET:20261028T131000
DESCRIPTION:Many publishers turn to the ROR API to match text-based affilia
 tions to persistent identifiers (PIDs). This tool typically yields a match
 ing percentage of just 52% to 57%\, if one restricts oneself to reliable o
 utcomes. In this session\, you will discover further possibilities for mat
 ching\, such as Human Intelligence Tasks\, Machine Learning\, and Vector S
 earch. This is based on concrete experiences from a project carried out at
  a medium-sized German science and medical publisher. An intriguing questi
 on to which we ourselves do not yet have an answer: will artificial intell
 igence ultimately remove the necessity for a human in the loop?
DTSTAMP:20260728T190331Z
LOCATION:LUMC05
SUMMARY:Stuck at a Meagre 52% ROR Matching Percentage? Here’s How to Boos
 t Your Rates. - Ivo Verbeek
URL:https://pretalx.surf.nl/pidfest-26-2026/talk/KPRJHV/
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