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. 2023 Apr 12;14:2054. doi: 10.1038/s41467-023-37637-z

Table 1.

Model selection based on Akaike Information Criterion (AIC) with clade (teleost or elasmobranch) as a categorical predictor variable

Model AIC ΔAIC
log10(RMR)~log10(mass)+temp + clade + temp*clade 37.33 0
log10(RMR)~log10(mass)+temp 38.64 1.31
log10(RMR)~log10(mass)+temp+clade+log10(mass)*clade+temp*clade 38.66 1.33
log10(RMR)~log10(mass)+temp+clade 40.60 3.27
log10(RMR)~log10(mass)+temp+clade+log10(mass)*clade 41.11 3.78

Regressions were performed with the phylogenetic generalized least squares (PGLS) method. The best model with lowest AIC is denoted by bold.