Extended Data Fig. 7: The fraction of samples that can be treated by at least one drug given set thresholds on the single-drug resistance probability scores.

Given the complete-model-assigned probabilities of resistance \(P_k^m\) of each sample m to each antibiotic k, we calculated the fraction of samples, within the 1-year test period, that have at least one drug with resistance score below a threshold. a,b, This fraction is calculated assuming that the threshold used to determine resistance of single drugs is either: the same probability threshold P^threshold for all drugs (counting all samples for which \(P_k^m < P^{\mathrm{threshold}}\) for at least one antibiotics k) (a) or the same rank threshold r^threshold for all drugs, counting all samples for which \(P_k^m < P_k^{\mathrm{threshold}}\left( {r^{\mathrm{threshold}}} \right)\) for at least one antibiotics k, where \(P_k^{\mathrm{threshold}}\left( {r^{\mathrm{threshold}}} \right)\) is the probability threshold of drug k that includes a fraction r^threshold of the samples (b).