| Homolog leakage |
Random splits put near-identical strains in train and test; the
model memorizes clones, not resistance biology, and collapses on
unseen lineages. |
All splits are by skani cluster (99.5% ANI de-dup); every
reported number comes from genetically grouped splits, with the
held-out genetic group as the headline — never the
in-distribution one. |
Walsh et al. 2021 DOME, Nat Methods; Hicks
et al. 2019, PLoS Comput Biol |
| False confidence |
A confidently wrong “likely to work” is the most dangerous
output; raw ML scores are miscalibrated and users over-trust
automated suggestions. |
Platt calibration on a held-out split only; Brier score and
reliability curve published per drug; asymmetric conformal
no-call band (α susceptible-side 0.02) plus an ANI-distance hard
override; confidence is always shown as a bin-level frequency,
never a bare number. |
Van Calster et al. 2019, BMC Med; FDA CDS
guidance (automation bias) |
| Spurious correlation |
The model latches onto lineage markers that correlate with
resistance in this sample but encode no mechanism (cf. Caruana's
pneumonia–asthma model). |
Evidence is decoupled from the model: category (i) curated
determinant (AMRFinderPlus + allele-aware mapping), category (ii)
statistical association only, category (iii) no signal — shown
separately, so a mechanism-free prediction is visibly weaker. |
Caruana et al. 2015, KDD; Hicks et al. 2019
(r > 0.98 confounding) |
| Absent-target false-susceptible |
“No resistance gene found” reported as “susceptible”,
including when the drug's target locus was never actually
sequenced. |
Locus callability gate: the quinolone target loci
(gyrA / parC / parE) must be verified present in the assembly
before a wild-type reading is trusted; not-called loci force
suspicion, never default-susceptible. |
BioFire K212727 labeling; Ellington et al.
2017 EUCAST WGS-AST report |