Stop trusting single accuracy scores: why ML models need distributional evaluation
A large-scale study argues that machine learning performance should be reported as distributions with confidence intervals on quantiles rather than ...
A large-scale study argues that machine learning performance should be reported as distributions with confidence intervals on quantiles rather than ...
A new Exposure–Transformation–Response framework argues that the antifouling biocide Irgarol remains ecologically and endocrinologically active long after degradation, challenging the ...
A South Korean study combining regional fire-risk matrices with cost–benefit analysis shows that redirecting and expanding disaster safety budgets in ...
A new opinion article argues that environmental research must organize interdisciplinary collaboration around shared problems, mechanistic understanding, and translation through ...
A 65-year analysis of Finnish reanalysis data shows that compound events of extreme snowfall and wind gusts are usually brief ...
A study of 126 soil samples and 45 potato tubers from Italy's Sila Massif shows arsenic and lead concentrate in ...
A hierarchical Bayesian study of Ghana's Akora River finds that while median metal exposure from tilapia and catfish stays within ...
A new review in Mechanical Sciences surveys analytical, numerical, statistical, and AI-based methods for predicting how ice and wind hazards ...
A systematic review of 52 studies finds that mercury, lead, cadmium, and chromium routinely exceed safety limits in Brazilian freshwater ...
A new GIS-based study maps landslide hazard, vulnerability and risk across Srinagar, Uttarakhand, using frequency ratio and information value models ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine