Machine-learning model led design to experimentally test species thermal limits: The case of kissing bugs (Triatominae).

The fit of the mortality data using the survival function (with interaction) of the Cox analysis showed that both covariates (temperature and exposure times) were highly significant, as well as their interaction, in determining the mortality level (Concordance = 0.872 (se = 0.015), Likelihood ratio test = 295.9 on 3 df, p ≤ 2e-16, Wald test = 276 on 3 df, p ≤ 2e-16, and Score (logrank) test = 447.6 on 3 df, p ≤ 2e-16).

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