-The figure above shows scores for each paper submitted. The vertical grey lines reflect the distribution of scores where the minimum and maximum scores for each paper are the ends of the lines. The colored dots show the arithmetic mean for each score (unweighted by reviewer confidence). Colors show whether the papers were accepted, rejected, or presented as a poster. It's important to keep in mind that two papers were *submitted* as posters. Although Associate Chairs made the final decisions on a case-by-case basis, most papers that had an average score of less than 0 (the horizontal orange line) were rejected and most papers with positive average scores were accepted. We ultimately accepted `r num.papers.accepted` papers (`r paste(round(num.papers.accepted / (nrow(submissions) - 2)*100), "%", sep="")`) of those submitted.
+The figure above shows scores for each paper submitted. The vertical grey lines reflect the distribution of scores where the minimum and maximum scores for each paper are the ends of the lines. The colored dots show the arithmetic mean for each score (unweighted by reviewer confidence). Colors show whether the papers were accepted, rejected, or presented as a poster. It's important to keep in mind that two papers were *submitted* as posters.
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+Although Associate Chairs made the final decisions on a case-by-case basis, every paper that had an average score of less than 0 (the horizontal orange line) was rejected and most (but not all) papers with positive average scores were accepted. Although a positive average score seemed to be a required publication, negative individual scores weren't necessary showstoppers and we accepted `r table(unique(na.omit(scores.after$sub.id[scores.after$score < 0])) %in% submissions$sub.id[submissions$result == "ACCEPT" & submissions$type == "full paper"])["TRUE"]` papers with at least one negative score. We ultimately accepted `r num.papers.accepted` papers (`r paste(round(num.papers.accepted / (nrow(submissions) - 2)*100), "%", sep="")`) of those submitted.