Template:M intro technology Better call ChatGPT: Difference between revisions

{{drop|A|n interesting finding,}} noted but not explored by the paper, was a variance measurement<ref>“Cronbach’s alpha” is a statistic that measures internal consistency and reliability, of a different items such as, in this case, the legal agreement reviews. A high “alpha” indicates consistency and general agreement; a low alpha indicates variance or disagreement.</ref> across the categories of human reviewers: the ''least'' qualified, the [[LPO]]s had an “alpha” variance of 1.0, implying complete agreement among them about the issues (a function, we suppose, of slavish and obedient adherence that is beaten into LPO businesses). This ''dropped'' to 0.77 for junior lawyers and further still to 0.71 for senior lawyers.

This says one of two things: either lawyers get worse at reading contracts as they get more experienced — by no means out of the question, and would explain a few things — or there is something not measured in these [[key performance indicator]]s that sets the veterans apart. That, maybe, linear contract analytics is the proverbial a [[machine for judging poetry]], and  isn’t all there is to it.